Publications for Information Science

Ajmeri, N., Martin, A. M., & Savarimuthu, B. T. R. (Eds.). (2022). Coordination, organizations, institutions, norms, and ethics (COINE) for governance of multi-agent systems XV: Revised selected papers: Lecture notes in artificial intelligence (Vol. 13549). Cham, Switzerland: Springer, 241p. doi: 10.1007/978-3-031-20845-4

Aler Tubella, A., Cranefield, S., Frantz, C., Meneguzzi, F., & Vasconcelos, W. (Eds.). (2021). Coordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XIII: COIN 2017 & COINE 2020 International Workshops: Lecture notes in artificial intelligence (Vol. 12298). Cham, Switzerland: Springer, 181p. doi: 10.1007/978-3-030-72376-7

Cranefield, S., Mahmoud, S., Padget, J., & Rocha, A. P. (Eds.). (2017). Coordination, organizations, institutions, and norms in agent systems XII: COIN 2016 International Workshops: Lecture notes in artificial intelligence (Vol. 10315). Cham, Switzerland: Springer, 171p. doi: 10.1007/978-3-319-66595-5

Cossentino, M., El Fallah Seghrouchni, A., & Winikoff, M. (Eds.). (2013). Engineering multi-agent systems: First International Workshop EMAS, revised selected papers: Lecture notes in computer science (Vol. 8245). Berlin, Germany: Springer, 391p. doi: 10.1007/978-3-642-45343-4

Cranefield, S., & Song, I. (Eds.). (2012). Agent based simulation for a sustainable society and multi-agent smart computing: PRIMA 2011 International Workshop: Lecture notes in artificial intelligence (Vol. 7580). Heidelberg, Germany: Springer, 125p. doi: 10.1007/978-3-642-35612-4

Cranefield, S., van Riemsdijk, M. B., Vázquez-Salceda, J., & Noriega, P. (Eds.). (2012). Coordination, organizations, institutions, and norms in agent system VII: COIN 2011 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 7254). Heidelberg, Germany: Springer, 221p. doi: 10.1007/978-3-642-35545-5

Desai, N., Liu, A., & Winikoff, M. (Eds.). (2012). Principles and practice of multi-agent systems: 13th International Conference PRIMA 2010, revised selected papers: Lecture notes in computer science (Vol. 7057). Berlin, Germany: Springer, 665p. doi: 10.1007/978-3-642-25920-3

Sakama, C., Sardina, S., Vasconcelos, W., & Winikoff, M. (Eds.). (2012). Declarative agent languages and technologies IX: 9th International Workshop DALT 2011, revised selected and invited papers: Lecture notes in artificial intelligence (Vol. 7169). Berlin, Germany: Springer, 153p. doi: 10.1007/978-3-642-29113-5

Liesaputra, V., & Ott, C. (2022). Learning analytics enriched by emotions. In A. Kaplan (Ed.), Digital transformation and disruption of higher education. (pp. 361-376). Cambridge, UK: Cambridge University Press. doi: 10.1017/9781108979146.035

Srivathsan, S., Cranefield, S., & Pitt, J. (2022). A Bayesian model of information cascades. In A. Theodorou, J. C. Nieves & M. De Vos (Eds.), Coordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XIV: International workshop COINE 2021, revised selected papers: Lecture notes in artificial intelligence (Vol. 13239). (pp. 97-110). Cham, Switzerland: Springer. doi: 10.1007/978-3-031-16617-4_7

Srivathsan, S., Cranefield, S., & Pitt, J. (2022). Reasoning about collective action in Markov logic: A case study from classical Athens. In N. Ajmeri, A. M. Martin & B. T. R. Savarimuthu (Eds.), Coordination, organizations, institutions, norms, and ethics (COINE) for governance of multi-agent systems XV: Revised selected papers: Lecture notes in artificial intelligence (Vol. 13549). (pp. 201-212). Cham, Switzerland: Springer. doi: 10.1007/978-3-031-20845-4_13

Zollmann, S., Langlotz, T., Regenbrecht, H., Button, C., Lo, W. H., & Mills, S. (2022). Augmented reality for sports spectating and coaching. In V. Tzankova & M. Filimowicz (Eds.), Interactive sports technologies: Performance, participation, safety. (pp. 96-111). New York, NY: Routledge. doi: 10.4324/9781003205111-7

Afshar Sedigh, A. H., Purvis, M. K., Savarimuthu, B. T. R., Frantz, C. K., & Purvis, M. A. (2021). Impact of different belief facets on agents' decision: A refined cognitive architecture to model the interaction between organisations' institutional characteristics and agents' behaviour. In A. Aler Tubella, S. Cranefield, C. Frantz, F. Meneguzzi & W. Vasconcelos (Eds.), Coordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XIII: COIN 2017 & COINE 2020 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 12298). (pp. 133-155). Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-030-72376-7_8

Cheriyan, J., Savarimuthu, B. T. R., & Cranefield, S. (2021). Norm violation in online communities: A study of Stack Overflow comments. In A. Aler Tubella, S. Cranefield, C. Frantz, F. Meneguzzi & W. Vasconcelos (Eds.), Coordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XIII: COIN 2017 & COINE 2020 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 12298). (pp. 20-34). Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-030-72376-7_2

Hale, L., Heinrich, C., Hoermann, S., Regenbrecht, H., & King, M. (2021). Engaging stroke survivors with virtual neurorehabilitation technology. In C. M. Hayre, D. J. Muller & M. J. Scherer (Eds.), Virtual reality in health and rehabilitation. (pp. 103-116). Boca Raton, FL: CRC Press. doi: 10.1201/9780429351365

Li, J., Deng, J. D., Adhia, D., & de Ridder, D. (2021). Resting-state EEG sex classification using selected brain connectivity representation. In T. D. Pham, H. Yan, M. W. Ashraf & F. Sjöberg (Eds.), Advances in artificial intelligence, computation, and data science: For medicine and life science. (pp. 319-329). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-69951-2_13

Murali, R., Patnaik, S., & Cranefield, S. (2021). Mining international political norms from the GDELT database. In A. Aler Tubella, S. Cranefield, C. Frantz, F. Meneguzzi & W. Vasconcelos (Eds.), Coordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XIII: COIN 2017 & COINE 2020 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 12298). (pp. 35-56). Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-030-72376-7_3

Savarimuthu, B. T. R., Licorish, S. A., Devananda, M., Greenheld, G., Dignum, V., & Dignum, F. (2021). Developers' responses to app review feedback: A study of communication norms in app development. In A. Aler Tubella, S. Cranefield, C. Frantz, F. Meneguzzi & W. Vasconcelos (Eds.), Coordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XIII: COIN 2017 & COINE 2020 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 12298). (pp. 57-75). Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-030-72376-7_4

Cranefield, S., & Dignum, F. (2020). Incorporating social practices in BDI agent systems. In L. A. Dennis, R. H. Bordini & Y. Lespérance (Eds.), Engineering multi-agent systems: 7th International Workshop EMAS 2019, revised selected papers: Lecture notes in artificial intelligence (Vol. 12058). (pp. 109-126). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-51417-4_6

Ferrando, A., Winikoff, M., Cranefield, S., Dignum, F., & Mascardi, V. (2020). On enactability of agent interaction protocols: Towards a unified approach. In L. A. Dennis, R. H. Bordini & Y. Lespérance (Eds.), Engineering multi-agent systems: 7th International Workshop EMAS 2019, revised selected papers: Lecture notes in artificial intelligence (Vol. 12058). (pp. 43-64). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-51417-4_3

Afshar Sedigh, A. H., Frantz, C. K., Savarimuthu, B. T. R., Purvis, M. K., & Purvis, M. A. (2019). A comparison of two historical trader societies: An agent-based simulation study of English East India Company and New-Julfa. In P. Davidsson & H. Verhagen (Eds.), Multi-agent-based simulation XIX: 19th International Workshop MABS 2018, revised selected papers: Lecture notes in artificial intelligence (Vol. 11463). (pp. 17-31). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-22270-3_2

Tran, T. Q., Regenbrecht, H., & Tran, M.-T. (2019). Am I moving along a curve? A study on bicycle traveling-in-place techniques in virtual environments. In D. Lamas, F. Loizides, L. Nacke, H. Petrie, M. Winckler & P. Zaphiris (Eds.), Human-Computer Interaction (INTERACT): Proceedings of the 17th IFIP TC 13 International Conference, Part IV; Lecture notes in computer science (Vol. 11749). (pp. 345-363). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-29390-1_19

Lee, S. H.-S., Deng, J. D., Purvis, M. K., Purvis, M., & Peng, L. (2018). An improved PBIL algorithm for optimal coalition structure generation of smart grids. In M. Ganji, L. Rashidi, B. C. M. Fung & C. Wang (Eds.), Trends and applications in knowledge discovery and data mining: PAKDD Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 11154). (pp. 345-356). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-04503-6_33

Winikoff, M. (2018). Towards trusting autonomous systems. In A. El Fallah Seghrouchni, A. Ricci & T. C. Son (Eds.), Engineering multi-agent systems: Lectures notes in artificial intelligence (Vol. 10738). (pp. 3-20). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-91899-0_1

Winikoff, M., Dennis, L., & Fisher, M. (2018). Slicing agent programs for more efficient verification. In D. Weyns, V. Mascardi & A. Ricci (Eds.), Engineering multi-agent systems: 6th International Workshop EMAS, revised selected papers: Lecture notes in artificial intelligence (Vol. 11375). (pp. 139-157). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-25693-7_8

Alshaer, A., O'Hare, D., Hoermann, S., & Regenbrecht, H. (2017). The impact of the visual representation of the input device on driving performance in a power wheelchair simulator. In W. Powell, A. Skip Rezzo, P. M. Sharkey & J. Merrick (Eds.), Virtual reality: Recent advances in virtual rehabilitation system design. (pp. 45-61). Nova Science.

Shahi, A., Woodford, B. J., & Lin, H. (2017). Dynamic real-time segmentation and recognition of activities using a multi-feature windowing approach. In U. Kang, E.-P. Lim, J. X. Yu & Y.-S. Moon (Eds.), Trends and applications in knowledge discovery and data mining: PAKDD Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 10526). (pp. 26-38). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-67274-8_3

Gu, X., & Purvis, M. (2016). Image segmentation with superpixel based covariance descriptor. In H. Cao, J. Li & R. Wang (Eds.), Trends and applications in knowledge discovery and data mining: PAKDD 2016 Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 9794). (pp. 154-165). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-42996-0_13

Jahanbazi, M., Frantz, C., Purvis, M., & Purvis, M. (2016). The role of knowledge keepers in an artificial primitive human society: An agent-based approach. In V. Dignum, P. Noriega, M. Sensoy & J. S. Sichman (Eds.), Coordination, organizations, institutions, and norms in agent systems XI: COIN 2015 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 9628). (pp. 154-172). Cham, Switzerland: Springer International. doi: 10.1007/978-3-319-42691-4_9

Lin, H., Deng, J. D., & Woodford, B. J. (2016). Shot boundary detection using multi-instance incremental and decremental one-class support vector machine. In J. Bailey, L. Khan, T. Washio, G. Dobbie, J. Z. Huang & R. Wang (Eds.), Advances in knowledge discovery and data mining: Proceedings of the 20th Pacific-Asia Conference PAKDD, part 1: Lecture Notes in Artificial Intelligence (Vol. 9651). (pp. 165-176). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-31753-3_14

Winikoff, M. (2016). How testable are BDI agents? An analysis of branch coverage. In M. Baldoni, J. P. Müller, I. Nunes & R. Zalila-Wenkstern (Eds.), Engineering multi-agent systems: 4th International Workshop EMAS, revised, selected, and invited papers: Lecture notes in artificial intelligence (Vol. 10093). (pp. 210-223). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-50983-9_12

Winikoff, M. (2016). How testable are BDI agents? An analysis of branch coverage. In N. Osman & C. Sierra (Eds.), Autonomous agents and multiagent systems: AAMAS Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 10002). (pp. 90-106). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-46882-2_6

Farhangian, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2015). Agent-based modeling of resource allocation in software projects based on personality and skill. In F. Koch, C. Guttmann & D. Busquets (Eds.), Advances in social computing and multiagent systems: Communications in computer and information science (Vol. 541). (pp. 130-146). Cham, The Netherlands: Springer. doi: 10.1007/978-3-319-24804-2_9

Farhangian, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2015). The effects of temperament and team formation mechanism on collaborative learning of knowledge and skill in short-term projects. In F. Koch, C. Guttmann & D. Busquets (Eds.), Advances in social computing and multiagent systems: Communications in computer and information science (Vol. 541). (pp. 48-65). Cham, The Netherlands: Springer. doi: 10.1007/978-3-319-24804-2_4

Frantz, C., Purvis, M. K., Nowostawski, M., & Savarimuthu, B. T. R. (2015). Analysing the apprenticeship system in the Maghribi Traders Coalition. In F. Grimaldo & E. Norling (Eds.), Multi-agent-based simulation XV: International Workshop MABS 2014, revised selected papers: Lecture notes in artificial intelligence (Vol. 9002). (pp. 180-196). Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-14627-0_13

Frantz, C., Purvis, M. K., Purvis, M. A., Nowostawski, M., & Lewis, N. D. (2015). Fuzzy modeling of economic institutional rules. In A. Sadeghian & H. Tahayori (Eds.), Frontiers of higher order fuzzy sets. (pp. 87-129). New York: Springer.

Frantz, C., Purvis, M., Savarimuthu, B. T. R., & Nowostawski, M. (2015). Modelling the impact of role specialisation on cooperative behaviour in historic trader scenarios. In A. Ghose, N. Oren, P. Telang & J. Thangarajah (Eds.), Coordination, organizations, institutions and norms in agent systems X: COIN 2014 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 9372). (pp. 53-71). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-25420-3_16

Jahanbazi, M., Frantz, C., Purvis, M., & Purvis, M. (2015). Building an artificial primitive human society: An agent-based approach. In A. Ghose, N. Oren, P. Telang & J. Thangarajah (Eds.), Coordination, organizations, institutions and norms in agent systems X: COIN 2014 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 9372). (pp. 89-96). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-25420-3_16

Yasir, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2015). Improving energy outcomes in dynamically formed micro-grid coalitions. In A. Ghose, N. Oren, P. Telang & J. Thangarajah (Eds.), Coordination, organizations, institutions and norms in agent systems X: COIN 2014 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 9372). (pp. 251-267). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-25420-3_16

Cranefield, S. (2014). Agents and expectations. In T. Balke, F. Dignum, M. Birna van Riemsdijk & A. K. Chopra (Eds.), Coordination, organizations, institutions, and norms in agent systems IX: COIN 2013 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 8386). (pp. 234-255). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-07314-9_13

Farhangian, M., Purvis, M. K., Purvis, M., & Savarimuthu, B. T. R. (2014). Modelling the effects of personality and temperament in small teams. In T. Balke, F. Dignum, M. Birna van Riemsdijk & A. K. Chopra (Eds.), Coordination, organizations, institutions, and norms in agent systems IX: COIN 2013 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 8386). (pp. 25-41). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-07314-9_2

Frantz, C., Purvis, M. K., Nowostawski, M., & Savarimuthu, B. T. R. (2014). Modelling institutions using dynamic deontics. In T. Balke, F. Dignum, M. Birna van Riemsdijk & A. K. Chopra (Eds.), Coordination, organizations, institutions, and norms in agent systems IX: COIN 2013 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 8386). (pp. 211-233). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-07314-9_12

Hoermann, S., Hale, L., Winser, S. J., & Regenbrecht, H. (2014). Patient engagement and clinical feasibility of augmented reflection technology for stroke rehabilitation. In P. M. Sharkey & J. Merrick (Eds.), Virtual reality: Rehabilitation in motor, cognitive and sensorial disorders. (pp. 95-106). New York: Nova Science.

Padgham, L., Thangarajah, J., & Winikoff, M. (2014). Prometheus research directions. In O. Shehory & A. Sturm (Eds.), Agent-oriented software engineering: Reflections on architectures, methodologies, languages and frameworks. (pp. 155-171). Berlin, Germany: Springer. doi: 10.1007/978-3-642-54432-3_8

Savarimuthu, B. T. R., & Dam, H. K. (2014). Towards mining norms in open source software repositories. In L. Cao, Y. Zeng, A. L. Symeonidis, V. Gorodetsky, J. P. Müller & P. S. Yu (Eds.), Agents and data mining interaction: 9th International Workshop ADMI 2013, revised selected papers: Lecture notes in artificial intelligence (Vol. 8316). (pp. 26-39). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-55192-5_3

Yasir, M., Purvis, M. K., Purvis, M., & Savarimuthu, B. T. R. (2014). Intelligent battery strategies for local energy distribution. In T. Balke, F. Dignum, M. Birna van Riemsdijk & A. K. Chopra (Eds.), Coordination, organizations, institutions, and norms in agent systems IX: COIN 2013 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 8386). (pp. 63-80). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-07314-9_4

Yasir, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2014). An intelligent learning mechanism for trading strategies for local energy distribution. In S. Ceppi, E. David, V. Podobnik, V. Robu, O. Shehory, S. Stein & I. A. Vetsikas (Eds.), Agent-mediated electronic commerce: Designing trading strategies and mechanisms for electronic markets (LNBIP 187). (pp. 159-170). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-13218-1_12

Andrighetto, G., Cranefield, S., Conte, R., Purvis, M., Purvis, M., Savarimuthu, B. T. R., & Villatoro, D. (2013). (Social) norms and agent-based simulation. In S. Ossowski (Ed.), Agreement technologies: Law, governance and technology series (Vol. 8). (pp. 181-189). Dordrecht, The Netherlands: Springer. doi: 10.1007/978-94-007-5583-3_11

Balke, T., Cranefield, S., Di Tosto, G., Mahmoud, S., Paolucci, M., Savarimuthu, B. T. R., & Verhagen, H. (2013). Simulation and NorMAS. In G. Andrighetto, G. Governatori, P. Noriega & L. W. N. van der Torre (Eds.), Normative multi-agent systems. (pp. 171-189). Dagstuhl, Germany: Schloss Dagstuhl. doi: 10.4230/DFU.Vol4.12111.171

Cranefield, S., & Ranathunga, S. (2013). Embedding agents in business processes using enterprise integration patterns. In M. Cossentino, A. El Fallah Seghrouchni & M. Winikoff (Eds.), Engineering multi-agent systems: First International Workshop EMAS, revised selected papers: Lecture notes in computer science (Vol. 8245). (pp. 97-116). Berlin, Germany: Springer. doi: 10.1007/978-3-642-45343-4_6

Ghose, A., & Savarimuthu, T. B. R. (2013). Norms as objectives: Revisiting compliance management in multi-agent systems. In H. Aldewereld & J. S. Sichman (Eds.), Coordination, organizations, institutions, and norms in agent systems VIII: 14th International Workshop COIN 2012, revised selected papers: Lecture notes in artificial intelligence (Vol. 7756). (pp. 105-122). Berlin, Germany: Springer. doi: 10.1007/978-3-642-37756-3_7

Nowostawski, M. (2013). Meta-evolution modelling: Beyond selection/mutation-based models. In N. T. Nguyen, B. Trawiński, R. Katarzyniak & G.-S. Jo (Eds.), Advanced methods for computational collective intelligence: Studies in computational intelligence (Vol. 457). (pp. 249-258). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-34300-1_24

Nowostawski, M., & Münster, J. (2013). A virtual spatiotemporal annotation system: The virtual stickies mobile augmented reality study. In A. Moore & I. Drecki (Eds.), Geospatial visualisation. (pp. 159-182). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-12289-7_8

Ranathunga, S., & Cranefield, S. (2013). Improving situation awareness in intelligent virtual agents. In F. Dignum, C. Brom, K. Hindriks, M. Beer & D. Richards (Eds.), Cognitive agents for virtual environments: First International Workshop CAVE 2012, revised selected papers: Lecture notes in artificial intelligence (Vol. 7764). (pp. 134-148). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-36444-0_9

Savarimuthu, S., & Winikoff, M. (2013). Mutation operators for the GOAL agent language. In M. Cossentino, A. El Fallah Seghrouchni & M. Winikoff (Eds.), Engineering multi-agent systems: First International Workshop EMAS, revised selected papers: Lecture notes in computer science (Vol. 8245). (pp. 255-273). Berlin, Germany: Springer. doi: 10.1007/978-3-642-45343-4_14

Shah, M., Deng, J., & Woodford, B. (2013). Illumination invariant background model using mixture of Gaussians and SURF features. In J.-I. Park & J. Kim (Eds.), Computer vision: ACCV 2012 International Workshops, revised selected papers, part 1: Lecture notes in computer science (Vol. 7728). (pp. 308-314). Berlin, Germany: Springer. doi: 10.1007/978-3-642-37410-4_27

Singh, M. P., Arrott, M., Balke, T., Chopra, A., Christiaanse, R., Cranefield, S., … Savarimuthu, B. T. R., … Villata, S. (2013). The uses of norm. In G. Andrighetto, G. Governatori, P. Noriega & L. W. N. van der Torre (Eds.), Normative multi-agent systems. (pp. 191-229). Dagstuhl, Germany: Schloss Dagstuhl. doi: 10.4230/DFU.Vol4.12111.191

Winikoff, M., & Padgham, L. (2013). Agent oriented software engineering. In G. Weiss (Ed.), Multiagent Systems. (2nd ed.) (pp. 695-757). Cambridge, MA: MIT Press.

Cranefield, S., Winikoff, M., & Vasconcelos, W. (2012). Modelling and monitoring interdependent expectations. In S. Cranefield, M. B. van Riemsdijk, J. Vázquez-Salceda & P. Noriega (Eds.), Coordination, organizations, institutions, and norms in agent system VII: COIN 2011 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 7254). (pp. 149-166). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-35545-5_9

Ebadi, T., Purvis, M., & Purvis, M. K. (2012). A Colored Petri Net model to represent the interactions between a set of cooperative agents. In D. Beneventano, Z. Despotovic, F. Guerra, S. Joseph, G. Moro & A. Perreau de Pinninck (Eds.), Agents and peer-to-peer computing: 7th & 8th International Workshops AP2PC 2008, 2009, revised selected papers: Lecture notes in artificial intelligence (Vol. 6573). (pp. 141-152). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-31809-2_13

Frantz, C., Nowostawski, M., & Purvis, M. K. (2012). Augmenting Android with AOSE principles for enhanced functionality reuse in mobile applications. In F. Dechesne, H. Hattori, A. ter Mors, J. M. Such, D. Weyns & F. Dignum (Eds.), Advanced agent technology: AAMAS 2011 Workshops, revised selected papers: Lecture notes in computer science (Vol. 7068). (pp. 187-211). Berlin, Germany: Springer. doi: 10.1007/978-3-642-27216-5_13

Frantz, C., Nowostawski, M., & Purvis, M. K. (2012). Micro-agents on Android: Interfacing agents with mobile applications. In F. Dechesne, H. Hattori, A. ter Mors, J. M. Such, D. Weyns & F. Dignum (Eds.), Advanced agent technology: AAMAS 2011 Workshops, revised selected papers: Lecture notes in computer science (Vol. 7068). (pp. 488-502). Berlin, Germany: Springer. doi: 10.1007/978-3-642-27216-5_37

Ghandour, A., Deans, K. R., & Benwell, G. L. (2012). Issues facing website evaluation: Identifying a gap. In Z. Belkhamza & S. A. Wafa (Eds.), Measuring organizational information systems success: New technologies and practices. (pp. 233-252). Hershey, PA: Business Science Reference. doi: 10.4018/978-1-4666-0170-3.ch012

Ghandour, A., Deans, K. R., & Benwell, G. L. (2012). Website evaluation criteria: An owner’s perspective. In Z. Belkhamza & S. A. Wafa (Eds.), Measuring organizational information systems success: New technologies and practices. (pp. 253-275). Hershey, PA: Business Science Reference. doi: 10.4018/978-1-4666-0170-3.ch013

Ranathunga, S., Cranefield, S., & Purvis, M. (2012). Integrating expectation monitoring into BDI agents. In L. Dennis, O. Boissier & R. H. Bordini (Eds.), Programming multi-agent systems: 9th International Workshop ProMAS 2011, revised selected papers: Lecture notes in artificial intelligence (Vol. 7217). (pp. 74-91). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-31915-0_5

Ranathunga, S., Cranefield, S., & Purvis, M. (2012). Interfacing a cognitive agent platform with Second Life. In M. Beer, Brom, F. Dignum & V.-W. Soo (Eds.), Agents for educational games and simulations: International Workshop AEGS 2011, revised papers: Lecture notes in artificial intelligence (Vol. 7471). (pp. 1-21). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-32326-3_1

Savarimuthu, B. T. R., Purvis, M., & Verhagen, H. (2012). An agent-based simulation of employing social norms in energy conservation in households. In S. Cranefield & I. Song (Eds.), Agent based simulation for a sustainable society and multi-agent smart computing: International Workshops PRIMA 2011, revised selected papers: Lecture notes in artificial intelligence (Vol. 7580). (pp. 16-31). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-35612-4_2

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Alencar da Costa, D., Grattan, N., Stanger, N., & Licorish, S. A. (2023). Studying the characteristics of SQL-related development tasks: An empirical study. Empirical Software Engineering, 28, 69. doi: 10.1007/s10664-023-10295-x

Baker, L., Ventura, J., Langlotz, T., Gul, S., Mills, S., & Zollmann, S. (2023). Localization and tracking of stationary users for augmented reality. Visual Computer. Advance online publication. doi: 10.1007/s00371-023-02777-2

Bernardo, J. H., Alencar da Costa, D., Kulesza, U., & Treude, C. (2023). The impact of a continuous integration service on the delivery time of merged pull requests. Empirical Software Engineering, 28, 97. doi: 10.1007/s10664-023-10327-6

Ebner, C., Mohr, C., Langlotz, T., Peng, Y., Schmalstieg, D., Wetzstein, G., & Kalkofen, D. (2023). Off-axis layered displays: Hybrid direct-view/near-eye mixed reality with focus cues. IEEE Transactions on Visualization & Computer Graphics. Advance online publication. doi: 10.1109/TVCG.2023.3247077

Falessi, D., Laureani, S. M., Çarka, J., Esposito, M., & Alencar da Costa, D. (2023). Enhancing the defectiveness prediction of methods and classes via JIT. Empirical Software Engineering, 28, 37. doi: 10.1007/s10664-022-10261-z

Kent, S., Houghton, L., & Licorish, S. (2023). Towards an understanding of the relationship between institutional theory, affective events theory, negative discrete emotions, and the development of feral systems when using human resource information systems. Computers in Human Behavior Reports, 9, 100264. doi: 10.1016/j.chbr.2022.100264

Lo, W. H., Regenbrecht, H., & Zollmann, S. (2023). Sports visualization in the wild: The impact of technical factors on user experience in Augmented Reality sports spectating. IEEE Computer Graphics & Applications, 1-11. Advance online publication. doi: 10.1109/MCG.2023.3308958

Nakhoda, M., Whigham, P., & Zwanenburg, S. (2023). Quantifying and addressing uncertainty in the measurement of interdisciplinarity. Scientometrics. Advance online publication.

Ndukwe, I. G., Licorish, S. A., & MacDonell, S. G. (2023). Perceptions on the utility of community question and answer websites like Stack Overflow to software developers. IEEE Transactions on Software Engineering, 49(4), 2413-2425. doi: 10.1109/TSE.2022.3220236

Ndukwe, I. G., Licorish, S. A., Tahir, A., & MacDonell, S. G. (2023). How have views on software quality differed over time? Research and practice viewpoints. Journal of Systems & Software, 195, 111524. doi: 10.1016/j.jss.2022.111524

Nguyen, Q. H., Ming, D. K., Luu, A. P., Chanh, H. Q., Tam, D. T. H., Truong, N. T., … Paton, C., … on behalf of the Vietnam ICU Translational Applications Laboratory (VITAL) Investigators, including . (2023). Mapping patient pathways and understanding clinical decision-making in dengue management to inform the development of digital health tools. BMC Medical Informatics & Decision Making, 23, 24. doi: 10.1186/s12911-023-02116-4

Omondiagbe, O. P., Lilburne, L. R., Licorish, S. A., & MacDonell, S. G. (2023). Soil texture prediction with automated deep convolutional neural networks and population-based learning. Geoderma, 436, 116521. doi: 10.1016/j.geoderma.2023.116521

Owen, C. A., Dick, G., & Whigham, P. A. (2023). Using decomposed error for reproducing implicit understanding of algorithms. Evolutionary Computation. Advance online publication. doi: 10.1162/evco_a_00321

Rahimi, S., Moore, A. B., Whigham, P. A., & Dillingham, P. (2023). Counterfactual reasoning in space and time: Integrating graphical causal models in computational movement analysis. Transactions in GIS. Advance online publication. doi: 10.1111/tgis.13100

Shamoug, A., Cranefield, S., & Dick, G. (2023). SEmHuS: A semantically embedded humanitarian space. Journal of International Humanitarian Action, 8(3). doi: 10.1186/s41018-023-00135-4

Sharma, P. N., Savarimuthu, B. T. R., & Stanger, N. (2023). How are decisions made in open source software communities? Uncovering rationale from python email repositories. Journal of Software: Evolution & Process. Advance online publication. doi: 10.1002/smr.2526

Wlasak, W., Zwanenburg, S. P., & Paton, C. (2023). Supporting autonomous motivation for physical activity with chatbots during COVID-19: Factorial experiment. JMIR Formative Research, 7, e38500. doi: 10.2196/38500

Zolduoarrati, E., Licorish, S. A., & Stanger, N. (2023). Secondary studies on human aspects in software engineering: A tertiary study. Journal of Systems & Software, 200, 111654. doi: 10.1016/j.jss.2023.111654

Afshar Sedigh, A. H., Purvis, M., Savarimuthu, T. B. R., Frantz, C. K., & Purvis, M. (2022). A comparative study on apprenticeship systems using agent-based simulation. Journal of Artificial Societies & Social Simulation, 25(1), 1. doi: 10.18564/jasss.4733

Bennin, K. E., Tahir, A., MacDonell, S. G., & Börstler, J. (2022). An empirical study on the effectiveness of data resampling approaches for cross‐project software defect prediction. IET Software, 16, 185-199. doi: 10.1049/sfw2.12052

Caluya, N. R., Plopski, A., Sandor, C., Fujimoto, Y., Kanbara, M., & Kato, H. (2022). Does overlay field of view in head-mounted displays affect spatial memorization? Computers & Graphics, 102, 554-565. doi: 10.1016/j.cag.2021.09.004

Corbett, J., & Savarimuthu, B. T. R. (2022). From tweets to insights: A social media analysis of the emotion discourse of sustainable energy in the United States. Energy Research & Social Science, 89, 102515. doi: 10.1016/j.erss.2022.102515

Cornwall, J., English, S., Woodford, B., Elliot, J., & McAuley, K. (2022). An exploration of Aotearoa New Zealanders' attitudes and perceptions on the use of posthumous healthcare data. New Zealand Medical Journal, 135(1554), 44-54. Retrieved from https://www.nzma.org.nz/journal

Ghaleb, T. A., Alencar da Costa, D., & Zou, Y. (2022). On the popularity of internet of things projects in online communities An empirical study of Hackster.io. Information Systems Frontiers, 24, 1601-1634. doi: 10.1007/s10796-021-10157-1

Heinrich, C., Morkisch, N., Langlotz, T., Regenbrecht, H., & Dohle, C. (2022). Feasibility and psychophysical effects of immersive virtual reality‑based mirror therapy. Journal of NeuroEngineering & Rehabilitation, 19, 107. doi: 10.1186/s12984-022-01086-4

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Licorish, S. A., & Lötter, A. L. J. (2022). When does Kahoot! provide most value for classroom dynamics, engagement, and motivation?: IS students’ and lecturers’ perceptions. Journal of Information Systems Education, 33(3), 245-260.

Licorish, S., Galster, M., Kapitsaki, G. M., & Tahir, A. (2022). Understanding students’ software development projects: Effort, performance, satisfaction, skills and their relation to the adequacy of outcomes developed. Journal of Systems & Software, 186, 111156. doi: 10.1016/j.jss.2021.111156

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Lu, P., Ghiasi, S., Hagenah, J., Hai, H. B., Hao, N. V., Khanh, P. N. Q., … VITAL Consortium, including Paton, C., … Zhu, T. (2022). Classification of tetanus severity in intensive-care settings for low-income countries using wearable sensing. Sensors, 22, 6554. doi: 10.3390/ s22176554

Malgaonkar, S., Licorish, S. A., & Savarimuthu, B. T. R. (2022). Automatically generating taxonomy for grouping app reviews: A study of three apps. Software Quality Journal, 30, 483-512. doi: 10.1007/s11219-021-09570-1

Malgaonkar, S., Licorish, S. A., & Savarimuthu, B. T. R. (2022). Prioritizing user concerns in app reviews: A study of requests for new features, enhancements and bug fixes. Information & Software Technology, 144, 106798. doi: 10.1016/j.infsof.2021.106798

Muinga, N., Abejirinde, I.-O. O., Benova, L., Paton, C., English, M., & Zweekhorst, M. (2022). Implementing a comprehensive newborn monitoring chart: Barriers, enablers, and opportunities. PLOS Global Public Health, 2(7), e0000624. doi: 10.1371/journal.pgph.0000624

Nkolika Ezenwa, B., Umoren, R., Bamikeolu Fajolu, I., Hippe, D. S., Bucher, S., Purkayastha, S., … Paton, C., & Chinyere Ezeaka, V. (2022). Using mobile virtual reality simulation to prepare for in-person Helping Babies Breathe training: Secondary analysis of a randomized controlled trial (the eHBB/mHBS Trial). JMIR Medical Education, 8(3), e37297. doi: 10.2196/37297

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Owen, P. D., & Owen, C. A. (2022). Simulation evidence on Herfindahl-Hirschman measures of competitive balance in professional sports leagues. Journal of the Operational Research Society, 73(2), 285-300. doi: 10.1080/01605682.2020.1835449

Plopski, A., Hirzle, T., Norouzi, N., Qian, L., Bruder, G., & Langlotz, T. (2022). The eye in Extended Reality: A survey on gaze interaction and eye tracking in head-worn Extended Reality. ACM Computing Surveys, 55(3), 53. doi: 10.1145/3491207

Rahimi, S., Moore, A. B., & Whigham, P. A. (2022). A vector-agent approach to (spatiotemporal) movement modelling and reasoning. Scientific Reports, 12(1), 21179. doi: 10.1038/s41598-022-22056-9

Regenbrecht, H., Park, N., Duncan, S., Mills, S., Lutz, R., Lloyd-Jones, L., Ott, C., … Whaanga, H. (2022). Ātea presence: Enabling virtual storytelling, presence, and tele-co-presence in an Indigenous setting. IEEE Technology & Society, 41(1), 32-42. doi: 10.1109/MTS.2022.3147525

Regenbrecht, H., Zwanenburg, S., & Langlotz, T. (2022). Pervasive augmented reality: Technology and ethics. IEEE Pervasive Computing. Advance online publication. doi: 10.1109/MPRV.2022.3152993

Safayet Arefin, M., Phillips, N., Plopski, A., Gabbard, J. L., & Swan, II, J. E. (2022). The effect of context switching, focal switching distance, binocular and monocular viewing, and transient focal blur on human performance in optical see-through augmented reality. IEEE Transactions on Visualization & Computer Graphics, 28(5), 2014-2025. doi: 10.1109/TVCG.2022.3150503

Sharma, P. N., Savarimuthu, B. T. R., & Stanger, N. (2022). Unearthing open source decision-making processes: A case study of python enhancement proposals. Software: Practice & Experience, 52, 2312-2346. doi: 10.1002/spe.3128

Shoman, S., Mashita, T., Plopski, A., Ratsamee, P., & Uranishi, Y. (2022). Real-to-synthetic feature transform for illumination invariant camera localization. IEEE Computer Graphics & Applications, 42(1), 47-55. doi: 10.1109/MCG.2020.3041617

Sutton, J., Langlotz, T., & Plopski, A. (2022). Seeing colours: Addressing colour vision deficiency with vision augmentations using computational glasses. ACM Transactions on Computer-Human Interaction, 29(3), 26. doi: 10.1145/3486899

Tetereva, A., Li, J., Deng, J. D., Stringaris, A., & Pat, N. (2022). Capturing brain-cognition relationship: Integrating task-based fMRI across tasks markedly boosts prediction and test-retest reliability. NeuroImage, 263, 119588. doi: 10.1016/j.neuroimage.2022.119588

Vasey, B., Nagendran, M., Campbell, B., Clifton, D. A., Collins, G. S., Denaxas, S., … DECIDE-AI expert group, including Paton, C. (2022). Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI [Consensus statement]. Nature Medicine, 28, 924-933. doi: 10.1038/s41591-022-01772-9

Wambua, S., Malla, L., Mbevi, G., Kandiah, J., Nwosu, A.-P., Tuti, T., Paton, C., … Okiro, E. A. (2022). Quantifying the indirect impact of COVID-19 pandemic on utilisation of outpatient and immunisation services in Kenya: a longitudinal study using interrupted time series analysis. BMJ Open, 12, e055815. doi: 10.1136/ bmjopen-2021-055815

Wimalasooriya, C., Licorish, S. A., Alencar da Costa, D., & MacDonell, S. G. (2022). A systematic mapping study addressing the reliability of mobile applications: The need to move beyond testing reliability. Journal of Systems & Software, 186, 111166. doi: 10.1016/j.jss.2021.111166

Zhao, Y., Alencar da Costa, D., & Zou, Y. (2022). Composing web services using a multi-agent framework. IEEE Transactions on Services Computing, 15(4), 2100-2113. doi: 10.1109/TSC.2020.3032976

Zolduoarrati, E., Licorish, S. A., & Stanger, N. (2022). Impact of individualism and collectivism cultural profiles on the behaviour of software developers: A study of stack overflow. Journal of Systems & Software, 192, 111427. doi: 10.1016/j.jss.2022.111427

Zwanenburg, S., Nakhoda, M., & Whigham, P. (2022). Toward greater consistency and validity in measuring interdisciplinarity: A systematic and conceptual evaluation. Scientometrics, 127, 7769-7788. doi: 10.1007/s11192-022-04310-z

Alwash, M., Savarimuthu, B. T. R., & Parackal, M. (2021). Mining brand value propositions on Twitter: Exploring the link between marketer-generated content and eWOM outcomes. Social Network Analysis & Mining, 11, 83. doi: 10.1007/s13278-021-00790-8

Attygalle, N. T., Leiva, L. A., Kljun, M., Sandor, C., Plopski, A., Kato, H., & Čopič Pucihar, K. (2021). No interface, no problem: Gesture recognition on physical objects using radar sensing. Sensors, 21, 5771. doi: 10.3390/s21175771

Collins, J., Regenbrecht, H., & Langlotz, T. (2021). Expertise and experience in VR-supported learning: Achieving a deep non-verbal comprehension of four-dimensional space. International Journal of Human-Computer Studies, 152, 102649. doi: 10.1016/j.ijhcs.2021.102649

Cranefield, S. (2021). Enabling BDI group plans with coordination middleware: Semantics and implementation. Autonomous Agent & Multi-Agent Systems, 35, 45. doi: 10.1007/s10458-021-09525-7

Fan, Y., Xia, X., Alencar da Costa, D., Lo, D., Hassan, A. E., & Li, S. (2021). The impact of changes mislabeled by SZZ on just-in-time defect prediction. IEEE Transactions on Software Engineering, 47(8), 1559-1586. doi: 10.1109/TSE.2019.2929761

Fuvattanasilp, V., Fujimoto, Y., Plopski, A., Taketomi, T., Sandor, C., Kanbara, M., & Kato, H. (2021). SlidAR+: Gravity-aware 3D object manipulation for handheld augmented reality. Computers & Graphics, 95, 23-35. doi: 10.1016/j.cag.2021.01.005

Ghaleb, T. A., Alencar da Costa, D., Zou, Y., & Hassan, A. E. (2021). Studying the impact of noises in build breakage data. IEEE Transactions on Software Engineering, 47(9), 1998-2011. doi: 10.1109/TSE.2019.2941880

Ghandour, A., & Woodford, B. J. (2021). Regulating Internet of Things: The case of the United Arab Emirates. TEM Journal, 10(3), 1031-1038. doi: 10.18421/TEM103-04

Heinrich, C., Cook, M., Langlotz, T., & Regenbrecht, H. (2021). My hands? Importance of personalised virtual hands in a neurorehabilitation scenario. Virtual Reality, 25, 313-330. doi: 10.1007/s10055-020-00456-4

Hu, X.-M., Zhang, S.-R., Li, M., & Deng, J. D. (2021). Multimodal particle swarm optimization for feature selection. Applied Soft Computing, 113, 107887. doi: 10.1016/j.asoc.2021.107887

Itoh, Y., Langlotz, T., Sutton, J., & Plopski, A. (2021). Towards indistinguishable augmented reality: A survey on optical see-through head-mounted displays. ACM Computing Surveys, 54(6), 120. doi: 10.1145/3453157

Itoh, Y., Langlotz, T., Zollmann, S., Iwai, D., Kiyoshi, K., & Amano, T. (2021). Computational phase-modulated eyeglasses. IEEE Transactions on Visualization & Computer Graphics, 27(3), 1916-1928. doi: 10.1109/TVCG.2019.2947038

Kerdegari, H., Phung, N. T. H., McBride, A., Pisani, L., Nguyen, H. V., Duong, T. B., … VITAL Consortium, including Paton, C. (2021). B-line detection and localization in lung ultrasound videos using spatiotemporal attention. Applied Sciences, 11, 11697. doi: 10.3390/app112411697

Muinga, N., Paton, C., Gicheha, E., Omoke, S., Aberjirinde, I.-O. O., Benova, L., … Zweekhorst, M. (2021). Using a human-centred design approach to develop a comprehensive newborn monitoring chart for inpatient care in Kenya. BMC Health Services Research, 21, 1010. doi: 10.1186/s12913-021-07030-x

Nair, S., Chen, S., Gupta, D., Smith, A. J., & McGregor, A. L. (2021). Higher BMI confers a long-term functional status advantage in elderly New Zealand European stroke patients. Journal of Stroke & Cerebrovascular Diseases, 30(5), 105711. doi: 10.1016/j.jstrokecerebrovasdis.2021.105711

Pitt, J., & Cranefield, S. (2021). A conceptual model and metaplatform for public interest technology design. IEEE Transactions on Technology & Society, 2(2), 71-82. doi: 10.1109/TTS.2021.3075189

Rahimi, S., Moore, A. B., & Whigham, P. A. (2021). Beyond objects in space-time: Towards a movement analysis framework with ‘How ’and ‘Why’ elements. ISPRS International Journal of Geo-Information, 10, 190. doi: 10.3390/ijgi10030190

Rees, G. H., Crampton, P., Gauld, R., & MacDonell, S. (2021). Health workforce planning under conditions of uncertainty: Identifying supportive integrated care policies using scenario analysis. Journal of Integrated Care, 29(2), 153-169. doi: 10.1108/JICA-08-2020-0052

Regenbrecht, H., Ott, C., Park, N., Duncan, S., & Collins, J. (2021). Voxelvideos for entertainment, education, and training. IEEE Access, 9, 68185-68196. doi: 10.1109/ACCESS.2021.3076488

Shephard, K., Kalsoom, Q., Gupta, R., Probst, L., Gannon, P., Santhakumar, V., Ndukwe, I. G., & Jowett, T. (2021). Exploring the relationship between dispositions to think critically and sustainability concern in HESD. International Journal of Sustainability in Higher Education, 22(5), 1166-1185. doi: 10.1108/IJSHE-07-2020-0251

Stamou, G., Garcia-Palacios, A., Woodford, B. J., Suso-Ribera, C., & Botella, C. (2021). The combination of cognitive-behavioural therapy with virtual reality for the treatment of postnatal depression in a brief intervention context: A single-case study trial. Journal of Healthcare Engineering, 2021, 5514770. doi: 10.1155/2021/5514770

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Tuti, T., Paton, C., & Winters, N. (2021). The counterintuitive self-regulated learning behaviours of healthcare providers from low-income settings. Computers & Education, 166, 104136. doi: 10.1016/j.compedu.2021.104136

Umoren, R., Butcher, S., Hippe, D. S., Nkolika Ezenwa, B., Bamikeolu Fajolu, I., Okwako, F. M., … Paton, C., … Esamai, F. (2021). eHBB: a randomised controlled trial of virtual reality or video for neonatal resuscitation refresher training in healthcare workers in resource-scarce settings. BMJ Open, 11, e048506. doi: 10.1136/bmjopen-2020-048506

Vandehei, B., Alencar da Costa, D., & Falessi, D. (2021). Leveraging the defects life cycle to label affected versions and defective classes. ACM Transactions on Software Engineering & Methodology, 30(2), 24. doi: 10.1145/3433928

Wambua, S., Malla, L., Mbevi, G., Nwosu, A.-P., Tuti, T., Paton, C., … Okiro, E. A. (2021). The indirect impact of COVID-19 pandemic on inpatient admissions in 204 Kenyan hospitals: An interrupted time series analysis. PLOS Global Public Health, 1(11), e0000029. doi: 10.1371/journal. pgph.0000029

Wei, F.-F., Chen, W.-N., Yang, Q., Deng, J., Luo, X.-N., Jin, H., & Zhang, J. (2021). A classifier-assisted level-based learning swarm optimizer for expensive optimization. IEEE Transactions on Evolutionary Computation, 25(2), 219-233. doi: 10.1109/TEVC.2020.3017865

Whigham, P. A., & Spencer, H. G. (2021). Graph-structured populations and the Hill-Robertson effect. Royal Society Open Science, 8, 201831. doi: 10.1098/rsos.201831

Zolduoarrati, E., & Licorish, S. A. (2021). On the value of encouraging gender tolerance and inclusiveness in software engineering communities. Information & Software Technology, 139, 106667. doi: 10.1016/j.infsof.2021.106667

Zollmann, S., Langlotz, T., Grasset, R., Lo, W. H., Mori, S., & Regenbrecht, H. (2021). Visualization techniques in augmented reality: A taxonomy, methods and patterns. IEEE Transactions on Visualization & Computer Graphics, 27(9), 3808-3825. doi: 10.1109/TVCG.2020.2986247

Alshaer, A., O'Hare, D., Archambault, P., Shirley, M., & Regenbrecht, H. (2020). How to observe users’ movements in virtual environments: Viewpoint control in a power wheelchair simulator. Human Factors, 62(4), 656-670. doi: 10.1177/0018720819853682

Bosu, M. F., MacDonell, S. G., & Whigham, P. A. (2020). Analyzing the Stationarity Process in Software Effort Estimation Datasets. International Journal of Software Engineering & Knowledge Engineering, 30(11-12), 1607-1640. doi: 10.1142/S0218194020400239

Easton, L. J., Bishop, P. J., & Whigham, P. A. (2020). Balancing act: Modelling sustainable release numbers for translocations. Animal Conservation, 23, 434-442. doi: 10.1111/acv.12558

Grainger, R., Townsley, H. R., Ferguson, C. A., Riley, F. E., Langlotz, T., & Taylor, W. J. (2020). Patient and clinician views on an app for rheumatoid arthritis disease monitoring: Function, implementation and implications. International Journal of Rheumatic Diseases, 23, 813-827. doi: 10.1111/1756-185x.13850

Gu, X., & Deng, J. D. (2020). A multi-feature bipartite graph ensemble for image segmentation. Pattern Recognition Letters, 131, 98-104. doi: 10.1016/j.patrec.2019.12.017

Khan, D., Plopski, A., Fujimoto, Y., Kanbara, M., Cheng, Z., & Kato, H. (2020). Valence optimization and angle improvement for molecular surface remeshing. Visual Computer, 36, 2355-2368. doi: 10.1007/s00371-020-01967-6

Lin, H., Deng, J. D., Albers, D., & Siebert, F. W. (2020). Helmet use detection of tracked motorcycles using CNN-based multi-task learning. IEEE Access, 8, 162073-162084. doi: 10.1109/ACCESS.2020.3021357

Liu, C., Plopski, A., & Orlosky, J. (2020). OrthoGaze: Gaze-based three-dimensional object manipulation using orthogonal planes. Computers & Graphics, 89, 1-10. doi: 10.1016/j.cag.2020.04.005

McCombie, A., Walmsley, R., Barclay, M., Ho, C., Langlotz, T., Regenbrecht, H., Gray, A., … Inns, S., & Schultz, M. (2020). A noninferiority randomized clinical trail of the use of the smartphone-based health applications IBDsmart and IBDoc in the care of inflammatory bowel disease patients. Inflammatory Bowel Diseases, 26(7), 1098-1109. doi: 10.1093/ibd/izz252

Meldrum, S., Licorish, S. A., Owen, C. A., & Savarimuthu, B. T. R. (2020). Understanding stack overflow code quality: A recommendation of caution. Science of Computer Programming, 199, 102516. doi: 10.1016/j.scico.2020.102516

Moore, A., Daniel, B., Leonard, G., Regenbrecht, H., Rodda, J., Baker, L., Ryan, R., & Mills, S. (2020). Comparative usability of an augmented reality sandtable and 3D GIS for education. International Journal of Geographical Information Science, 34(2), 229-250. doi: 10.1080/13658816.2019.1656810

Nobil, A. H., Afshar Sedigh, A. H., & Afshar-Nadjafi, B. (2020). Lot-sizing problem for a defective processing system with categorized items, backordering and pricing policy. Journal of Revenue & Pricing Management, 19, 255-265. doi: 10.1057/s41272-019-00208-3

Nobil, A. H., Afshar Sedigh, A. H., & Cárdenas-Barrón, L. E. (2020). Reorder point for the EOQ inventory model with imperfect quality items. Ain Shams Engineering Journal, 11, 1339-1343. doi: 10.1016/j.asej.2020.03.004

Owen, C. A., Dick, G., & Whigham, P. A. (2020). Characterizing genetic programming error through extended bias and variance decomposition. IEEE Transactions on Evolutionary Computation, 24(6), 1164-1176. doi: 10.1109/tevc.2020.2990626

Owen, H. E., & Licorish, S. A. (2020). Game-based student response system: The effectiveness of Kahoot! on junior and senior information science students' learning. Journal of Information Technology Education: Research, 19, 511-553. doi: 10.28945/4608

Rees, G. H., Crampton, P., Gauld, R., & MacDonell, S. (2020). Rethinking workforce planning for integrated care: Using scenario analysis to facilitate policy development. BMC Health Services Research, 20, 429. doi: 10.1186/s12913-020-05304-4

Ruffman, T., Ruffman, C., Hill, S., Turunc, G., Park, N., Du, K., Hayhurst, J., Kang, J., … Regenbrecht, H., … Hunter, J. A. (2020). RWAc and SDOc: The measurement of right‐wing authoritarianism and social dominance orientation in childhood. Social Development, 29, 1194-1214. doi: 10.1111/sode.12438

Tahir, A., Dietrich, J., Counsell, S., Licorish, S., & Yamashita, A. (2020). A large scale study on how developers discuss code smells and anti-pattern in Stack Exchange sites. Information & Software Technology, 125, 106333. doi: 10.1016/j.infsof.2020.106333

Afshar Sedigh, A. H., Haji, R., & Sajadifar, S. M. (2019). Cost function and optimal boundaries for a two-level inventory system with information sharing and two identical retailers. Scientia Iranica: Transactions E Industrial Engineering, 26(1), 472-485. doi: 10.24200/sci.2018.20144

Blank, M.-L., Hoek, J., George, M., Gendall, P., Conner, T. S., Thrul, J., … Langlotz, T. (2019). An exploration of smoking-to-vaping transition attempts using a "smart" electronic nicotine delivery system. Nicotine & Tobacco Research, 21(10), 1339-1346. doi: 10.1093/ntr/nty093

Bosu, M. F., & MacDonell, S. G. (2019). Experience: Quality benchmarking of datasets used in software effort estimation. Journal of Data & Information Quality, 11(4), 19. doi: 10.1145/3328746

Ghaleb, T. A., Alencar da Costa, D., & Zou, Y. (2019). An empirical study of the long duration of continuous integration builds. Empirical Software Engineering, 24, 2102-2139. doi: 10.1007/s10664-019-09695-9

Huang, Y., Alencar da Costa, D., Zhang, F., & Zou, Y. (2019). An empirical study on the issue reports with questions raised during the issue resolving process. Empirical Software Engineering, 24, 718-750. doi: 10.1007/s10664-018-9636-3

Itoh, Y., Langlotz, T., Iwai, D., Kiyokawa, K., & Amano, T. (2019). Light attenuation display: Subtractive see-through near-eye display via spatial color filtering. IEEE Transactions on Visualization & Computer Graphics, 25(5), 1951-1960. doi: 10.1109/TVCG.2019.2899229

Nobil, A. H., Afshar Sedigh, A. H., & Cárdenas-Barrón, L. E. (2019). A Generalized Economic Order Quantity Inventory Model with Shortage: Case Study of a Poultry Farmer. Arabian Journal for Science & Engineering, 44(3), 2653-2663. doi: 10.1007/s13369-018-3322-z

Nobil, A. H., Afshar Sedigh, A. H., Tiwari, S., & Wee, H. M. (2019). An imperfect multi-item single-machine production system with shortage, rework, and scrap considering inspection, dissimilar deficiency levels, and non-zero setup times. Scientia Iranica: Transactions E Industrial Engineering, 26(1), 557-570. doi: 10.24200/sci.2018.4984.1031

Park, N. J. W., & Regenbrecht, H. (2019). Resolutions and network latencies concerning a voxel telepresence experience. Journal of Software Engineering & Applications, 12(5), 171-197. doi: 10.4236/jsea.2019.125011

Regenbrecht, H., Park, J.-W., Ott, C., Mills, S., Cook, M., & Langlotz, T. (2019). Preaching voxels: An alternative approach to mixed reality. Frontiers in ICT, 6, 7. doi: 10.3389/fict.2019.00007

Young, J., Langlotz, T., Cook, M., Mills, S., & Regenbrecht, H. (2019). Immersive telepresence and remote collaboration using mobile and wearable devices. IEEE Transactions on Visualization & Computer Graphics, 25(5), 1908-1918. doi: 10.1109/TVCG.2019.2898737

Zareei, S., & Deng, J. D. (2019). Energy harvesting modelling for self-powered fitness gadgets: A feasibility study. International Journal of Parallel, Emergent & Distributed Systems, 34(4), 412-429. doi: 10.1080/17445760.2017.1410817

Zhao, G., Alencar da Costa, D., & Zou, Y. (2019). Improving the pull requests review process using learning-to-rank algorithms. Empirical Software Engineering, 24, 2140-2170. doi: 10.1007/s10664-019-09696-8

Zwanenburg, S., & Qureshi, I. (2019). Anticipating, avoiding, and alleviating measurement error: A synthesis of the literature with practical recommendations. Australasian Journal of Information Systems, 23. doi: 10.3127/ajis.v23i0.1844

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Holvitie, J., Licorish, S. A., Spínola, R. O., Hyrynsalmi, S., MacDonell, S. G., Mendes, T. S., … Leppänen, V. (2018). Technical debt and agile software development practices and processes: An industry practitioner survey. Information & Software Technology, 96, 141-160. doi: 10.1016/j.infsof.2017.11.015

Licorish, S. A., & MacDonell, S. G. (2018). Exploring the links between software development task type, team attitudes and task completion performance: Insights from the Jazz repository. Information & Software Technology, 97, 10-25. doi: 10.1016/j.infsof.2017.12.005

Licorish, S. A., Owen, H. E., Daniel, B., & George, J. L. (2018). Students’ perception of Kahoot!’s influence on teaching and learning. Research & Practice in Technology Enhanced Learning, 13, 9. doi: 10.1186/s41039-018-0078-8

Liu, X.-F., Zhan, Z.-H., Deng, J. D., Li, Y., Gu, T., & Zhang, J. (2018). An energy efficient ant colony system for virtual machine placement in cloud computing. IEEE Transactions on Evolutionary Computation, 22(1), 113-128. doi: 10.1109/TEVC.2016.2623803

Mensah, S., Keung, J., MacDonell, S. G., Bosu, M. F., & Bennin, K. E. (2018). Investigating the significance of the Bellwether effect to improve software effort prediction: Further empirical study. IEEE Transactions on Reliability, 67(3), 1176-1198. doi: 10.1109/TR.2018.2839718

Meredith-Jones, K., Haszard, J., Stanger, N., & Taylor, R. (2018). Precision of DXA-derived visceral fat measurements in a large sample of adults of varying body size. Obesity, 26(3), 505-512. doi: 10.1002/oby.22108

Nobil, A. H., Afshar Sedigh, A. H., & Cárdenas-Barrón, L. (2018). Multi-machine economic production quantity of scrapped and reworked items considering shortages and allocation decisions. Scientia Iranica: Transactions E Industrial Engineering, 25(4), 2331-2346. doi: 10.24200/sci.2017.4453

Rees, G. H., Crampton, P., Gauld, R., & MacDonell, S. (2018). Rethinking health workforce planning: Capturing health system social and power interactions through actor analysis. Futures, 99, 16-27. doi: 10.1016/j.futures.2018.03.009

Rees, G. H., Crampton, P., Gauld, R., & MacDonell, S. (2018). The promise of complementarity: Using the methods of foresight for health workforce planning. Health Services Management Research, 31(2), 97-105. doi: 10.1177/0951484818770408

Winikoff, M., Yadav, N., & Padgham, L. (2018). A new hierarchical agent protocol notation. Autonomous Agent & Multi-Agent Systems, 32(1), 59-133. doi: 10.1007/s10458-017-9373-9

Yang, Q., Chen, W.-N., Deng, J. D., Li, Y., Gu, T., & Zhang, J. (2018). A level-based learning swarm optimizer for large scale optimization. IEEE Transactions on Evolutionary Computation, 22(4), 578-594. doi: 10.1109/TEVC.2017.2743016

Yasir, M., Purvis, M., Purvis, M., & Savarimuthu, T. B. R. (2018). Complementary-based coalition formation for energy microgrids. Computational Intelligence. doi: 10.1111/coin.12171

Zwanenburg, S. P., & Farhoomand, A. (2018). Lenovo: Being on top in a declining industry. Communications of the Association for Information Systems, 42, 17. doi: 10.17705/1CAIS.04217

Abushark, Y., Miller, T., Thangarajah, J., Winikoff, M., & Harland, J. (2017). Requirements specification via activity diagrams for agent-based systems. Autonomous Agent & Multi-Agent Systems, 31(3), 423-468. doi: 10.1007/s10458-016-9327-7

Alghamdi, M., Regenbrecht, H., Hoermann, S., & Swain, N. (2017). Mild stress stimuli built into a non-immersive virtual environment can elicit actual stress responses. Behaviour & Information Technology, 36(9), 913-934. doi: 10.1080/0144929X.2017.1311374

Alshaer, A., Regenbrecht, H., & O'Hare, D. (2017). Immersion factors affecting perception and behaviour in a virtual reality power wheelchair simulator. Applied Ergonomics, 58, 1-12. doi: 10.1016/j.apergo.2016.05.003

Collins, J., Regenbrecht, H., & Langlotz, T. (2017). Visual coherence in mixed reality: A systematic enquiry. Presence, 26(1), 16-41. doi: 10.1162/PRES_a_00284

Grainger, R., Townsley, H., White, B., Langlotz, T., & Taylor, W. J. (2017). Apps for people with rheumatoid arthritis to monitor their disease activity: A review of apps for best practice and quality. JMIR mHealth & uHealth, 5(2), e7. doi: 10.2196/mhealth.6956

Grubert, J., Langlotz, T., Zollmann, S., & Regenbrecht, H. (2017). Towards pervasive augmented reality: Context-awareness in augmented reality. IEEE Transactions on Visualization & Computer Graphics, 23(6), 1706-1724. doi: 10.1109/TVCG.2016.2543720

Hoermann, S., Ferreira dos Santos, L., Morkisch, N., Jettkowski, K., Sillis, M., Devan, H., Kanagasabai, P. S., … Regenbrecht, H., Hale, L., & Cutfield, N. J. (2017). Computerised mirror therapy with Augmented Reflection Technology for early stroke rehabilitation: Clinical feasibility and integration as an adjunct therapy. Disability & Rehabilitation, 39(15), 1503-1514. doi: 10.1080/09638288.2017.1291765

Keller, T., & Savarimuthu, B. T. R. (2017). Facilitating enhanced decision support using a social norms approach. Journal of Electronic Commerce in Organisations, 15(2), 1. doi: 10.4018/JECO.2017040101

Licorish, S. A., & MacDonell, S. G. (2017). Exploring software developers’ work practices: Task differences, participation, engagement, and speed of task resolution. Information & Management, 54(3), 364-382. doi: 10.1016/j.im.2016.09.005

Liu, Q., Chen, W.-N., & Deng, J. D. (2017). Benchmarking stochastic algorithms for global optimization problems by visualizing confidence intervals. IEEE Transactions on Cybernetics, 47(9), 2924-2937. doi: 10.1109/tcyb.2017.2659659

Meldrum, S., Savarimuthu, B. T. R., Licorish, S., Tahir, A., Bosu, M., & Jayakaran, P. (2017). Is knee pain information on YouTube videos perceived to be helpful? An analysis of user comments and implications for dissemination on social media. Digital Health, 3. doi: 10.1177/2055207617698908

Rees, G. H., & MacDonell, S. (2017). Data gathering for actor analyses: A research note on the collection and aggregation of individual respondent data for MACTOR. Future Studies Research Journal, 9(1), 115-137.

Stanger, N., Alnaghaimshi, N., & Pearson, E. (2017). How do Saudi youth engage with social media? First Monday, 22(5). doi: 10.5210/fm.v22i5.7102

Whigham, P. A., Dick, G., & Maclaurin, J. (2017). Just because it works: A response to comments on "On the mapping of genotype to phenotype in evolutionary algorithms". Genetic Programming & Evolvable Machines, 18(3), 399-405. doi: 10.1007/s10710-017-9289-9

Whigham, P. A., Dick, G., & Maclaurin, J. (2017). On the mapping of genotype to phenotype in evolutionary algorithms. Genetic Programming & Evolvable Machines, 18(3), 353-361. doi: 10.1007/s10710-017-9288-x

Winikoff, M. (2017). BDI agent testability revisited. Autonomous Agent & Multi-Agent Systems, 31(5), 1094-1132. doi: 10.1007/s10458-016-9356-2

Yasir, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2017). Agent-based modelling of coalition formation in energy micro-grids. International Journal of Agent-Oriented Software Engineering, 5(4), 399-432. doi: 10.1504/IJAOSE.2017.087639

Dam, H. K., Egyed, A., Winikoff, M., Reder, A., & Lopez-Herrejon, R. E. (2016). Consistent merging of model versions. Journal of Systems & Software, 112, 137-155. doi: 10.1016/j.jss.2015.06.044

Easton, L. J., Dickinson, K. J. M., Whigham, P. A., & Bishop, P. J. (2016). Habitat suitability and requirements for a threatened New Zealand amphibian. Journal of Wildlife Management. doi: 10.1002/jwmg.1071

Langlotz, T., Cook, M., & Regenbrecht, H. (2016). Real-Time radiometric compensation for optical see-through head-mounted displays. IEEE Transactions on Visualization & Computer Graphics, 22(11), 2385-2394. doi: 10.1109/TVCG.2016.2593781

Licorish, S. A. (2016). Exploring the prevalence and evolution of android concerns: A community viewpoint. Journal of Software, 11(9), 848-869. doi: 10.17706/jsw.11.9.848-869

Mahroeian, H., & Daniel, B. (2016). The dynamic landscape of higher education: The role of big data and analytics. Journal of Educational Multimedia & Hypermedia, 25(3), 287-297.

Mark, A. F., Molau, U., Whigham, P., Little, L., & Nielsen, J. (2016). Periglacial tarn on the Rock and Pillar Range crest, south-central South Island, New Zealand, and its surrounding snowbank community. Austral Ecology, 41(3), 282-290. doi: 10.1111/aec.12310

McCombie, A., Langlotz, T., Barclay, M., Walmsley, R., Regenbrecht, H., & Schultz, M. (2016). Systematic review of IBD smartphone apps for symptom monitoring and communication with healthcare professionals. Journal of mHealth, 3(3), 36-41. Retrieved from http://www.thejournalofmhealth.com/

Nielsen, J. A., Frew, R. D., Whigham, P. A., Callaway, R. M., & Dickinson, K. J. M. (2016). Thyme travels: ¹⁵N isoscapes of Thymus vulgaris L. invasion in lightly grazed pastoral communities. Austral Ecology, 41(1), 28-39. doi: 10.1111/aec.12284

Whigham, P. A., de Graaf, B., Srivastava, R., & Glue, P. (2016). Managing distance and covariate information with point-based clustering. BMC Medical Research Methodology, 16(1), 115. doi: 10.1186/s12874-016-0218-z

Whigham, P. A., Dick, G., & Parry, M. (2016). Network rewiring dynamics with convergence towards a star network. Proceedings of the Royal Society A, 472(2194), 20160236. doi: 10.1098/rspa.2016.0236

Yang, Q., Chen, W.-N., Gu, T., Zhang, H., Deng, J. D., Li, Y., & Zhang, J. (2016). Segment-based predominant learning swarm optimizer for large-scale optimization. IEEE Transactions on Cybernetics, 47(9), 2896-2910. doi: 10.1109/TCYB.2016.2616170

Aderohunmu, F. A., Brunelli, D., Deng, J. D., & Purvis, M. K. (2015). A data acquisition protocol for a reactive wireless sensor network monitoring application. Sensors, 15(5), 10221-10254. doi: 10.3390/s150510221

Cranston, B. H., Monks, A., Whigham, P. A., & Dickinson, K. J. M. (2015). Variation and response to experimental warming in a New Zealand cushion plant species. Austral Ecology, 40, 642-650. doi: 10.1111/aec.12231

Deng, J. D., & Purvis, M. K. (2015). Teaching service modelling to a mixed class: An integrated approach. Informatics in Education, 14(1), 35-50. doi: 10.15388/infedu.2015.03

Fountain, J. S., Sly, B., Holt, A., & MacDonell, S. (2015). Availability of antidotes, antivenoms, and antitoxins in New Zealand hospital pharmacies. New Zealand Medical Journal, 128(1411). Retrieved from https://www.nzma.org.nz/journal

Frantz, C. K., Purvis, M. K., Savarimuthu, B. T. R., & Nowostawski, M. (2015). Modelling dynamic normative understanding in agent societies. Scalable Computing, 16(4), 355-378. doi: 10.12694/scpe.v16i4.1128

Günay, A., Winikoff, M., & Yolum, P. (2015). Dynamically generated commitment protocols in open systems. Autonomous Agent & Multi-Agent Systems, 29(2), 192-229. doi: 10.1007/s10458-014-9251-7

Licorish, S. A., & MacDonell, S. G. (2015). Communication and personality profiles of global software developers. Information & Software Technology, 64, 113-131. doi: 10.1016/j.infsof.2015.02.004

Nielsen, J. A., Frew, R. D., Whigham, P. A., Callaway, R. M., & Dickinson, K. J. M. (2015). Germination and growth responses of co-occurring grass species to soil from under invasive Thymus vulgaris. Allelopathy, 35(1), 139-152.

Nielsen, J. A., Whigham, P. A., Frew, R. D., Callaway, R. M., & Dickinson, K. J. M. (2015). Thyme and space invasion: Thymus vulgaris decreases exotic plant species diversity in Central Otago, New Zealand. Biological Invasions, 17(8), 2261-2274. doi: 10.1007/s10530-015-0872-9

Quigg, R., Gray, A., Reeder, A. I., Holt, A., & Waters, D. L. (2015). Development of a 15-item scale to measure parental perceptions of their neighborhood. Health Education & Behavior, 42(1), 100-108. doi: 10.1177/1090198114540460

Regenbrecht, H., & Langlotz, T. (2015). Mutual gaze support in videoconferencing reviewed. Communications of the Association for Information Systems, 37(1), 965-989.

Savarimuthu, S., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2015). An agent-based simulation for restricting exploitation in electronic societies through social mechanisms. AI & Society, 30(3), 345-358. doi: 10.1007/s00146-013-0529-0

Schultz, M., Bohwan Seo, S., Holt, A., & Regenbrecht, H. (2015). Family history assessment for colorectal cancer (CRC) risk analysis: Comparison of diagram- and questionnaire-based web interfaces. BMC Medical Informatics & Decision Making, 15, 95. doi: 10.1186/s12911-015-0211-1

Shah, M., Deng, J. D., & Woodford, B. J. (2015). A Self-adaptive CodeBook (SACB) model for real-time background subtraction. Image & Vision Computing, 38, 52-64. doi: 10.1016/j.imavis.2015.02.001

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Fountain, J. S., Reith, D. M., & Holt, A. (2014). The utilization of poisons information resources in Australasia. International Journal of Medical Informatics, 83(2), 106-112. doi: 10.1016/j.ijmedinf.2013.10.012

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Shamoug, A., Cranefield, S., & Dick, G. (2018). Information retrieval for humanitarian crises via a semantically classified word embedding. In K. Stock & D. Bunker (Eds.), Proceedings of the Information Systems for Crisis Response and Management Asia Pacific 2018 Conference: Innovating for Resilience. (pp. 132-144). Wellington, New Zealand: Massey University. [Full Paper]

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Yasir, M., Michael, K., Savarimuthu, B. T. R., & Licorish, S. A. (2018). Formal in the informal: A multi-level analysis of core python developers' tweets. Proceedings of the 25th Australasian Software Engineering Conference (ASWEC). (pp. 151-160). IEEE. doi: 10.1109/ASWEC.2018.00028

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Baker, L., Mills, S., Langlotz, T., & Rathbone, C. (2017). Power line detection using Hough transform and line tracing techniques. Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/ivcnz.2016.7804438

Counsell, S., Hall, T., Shippey, T., Bowes, D., Tahir, A., & MacDonell, S. (2017). Assert use and defectiveness in industrial code. Proceedings of the 28th IEEE International Symposium on Software Reliability Engineering Workshops. (pp. 20-23). IEEE. doi: 10.1109/issrew.2017.20

Cranefield, S., Winikoff, M., Dignum, V., & Dignum, F. (2017). No pizza for you: Value-based plan selection in BDI agents. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI). (pp. 178-184). doi: 10.24963/ijcai.2017/26

Devananda, M., Cranefield, S., Lloyd, H., & Winikoff, M. (2017). Patient information model to support population-level workload analysis. Proceedings of the 28th Australasian Conference on Information Systems (ACIS). 48. Retrieved from https://www.acis2017.org

Devananda, M., Cranefield, S., Winikoff, M., & Lloyd, H. (2017). Workload prediction model of a primary health centre. Proceedings of the 25th European Conference on Information Systems (ECIS). (pp. 1192-1204). Retrieved from http://aisel.aisnet.org/ecis/

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Diebold, P., Galster, M., Rainer, A., & Licorish, S. A. (2017). Interactive posters: An alternative to collect practitioners' experience. Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering (EASE). (pp. 230-235). New York, NY: ACM. doi: 10.1145/3084226.3084272

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Heinrich, C., Langlotz, T., & O'Keefe, R. (2017). Volume lens: Exploring medical volume datasets using mobile devices. In W. Broll, H. Regenbrecht, J. E. Swan, II, G. Bruder, M. Servières & M. Sugimoto (Eds.), Proceedings of the IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct). (pp. 35-38). IEEE. doi: 10.1109/ISMAR-Adjunct.2017.26

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Licorish, S. A., George, J. L., Owen, H. E., & Daniel, B. (2017). “Go Kahoot!” enriching classroom engagement, motivation and learning experience with games. Proceedings of the 25th International Conference on Computers in Education (ICCE). (pp. 755-764). Retrieved from http://icce2017.canterbury.ac.nz

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Meldrum, S., Licorish, S. A., & Savarimuthu, B. T. R. (2017). Crowdsourced knowledge on stack overflow: A systematic mapping study. Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering (EASE). (pp. 180-185). New York, NY: ACM. doi: 10.1145/3084226.3084267

Mensah, S., Keung, J., MacDonell, S. G., Bosu, M. F., & Bennin, K. E. (2017). Investigating the significance of Bellwether effect to improve software effort estimation. Proceedings of the IEEE International Conference on Software Quality, Reliability and Security (QRS). (pp. 340-351). IEEE. doi: 10.1109/QRS.2017.44

Nassani, A., Lee, G., Billinghurst, M., & Langlotz, T. (2017). The social AR continuum: Concept and user study. In W. Broll, H. Regenbrecht, J. E. Swan, II, G. Bruder, M. Servières & M. Sugimoto (Eds.), Proceedings of the IEEE International Symposium on Mixed and Augmented Realities (ISMAR-Adjunct). (pp. 7-8). doi: 10.1109/ISMAR-Adjunct.2017.20

Nassani, A., Lee, G., Billinghurst, M., Langlotz, T., & Lindeman, R. W. (2017). AR social continuum: Representing social contacts. Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques (SIGGRAPH) Asia: Mobile Graphics & Interactive Applications. 6. New York, NY: ACM. doi: 10.1145/3132787.3132812

Nassani, A., Lee, G., Billinghurst, M., Langlotz, T., & Lindeman, R. W. (2017). Using visual and spatial cues to represent social contacts in AR. Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques (SIGGRAPH) Asia: Mobile Graphics & Interactive Applications. 15. New York, NY: ACM. doi: 10.1145/3132787.3139199

Regenbrecht, H., Meng, K., Reepen, A., Beck, S., & Langlotz, T. (2017). Mixed voxel reality: Presence and embodiment in low fidelity, visually coherent, mixed reality environments. Proceedings of the IEEE International Symposium on Mixed and Augmented Reality (ISMAR). (pp. 90-99). IEEE. doi: 10.1109/ISMAR.2017.26

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Sharma, P. N., Savarimuthu, B. T. R., & Stanger, N. (2017). Boundary spanners in open source software development: A study of Python email archives. Proceedings of the 24th Asia-Pacific Software Engineering Conference (APSEC). (pp. 308-317). IEEE. doi: 10.1109/APSEC.2017.37

Sharma, P., Savarimuthu, B. T. R., Stanger, N., Licorish, S. A., & Rainer, A. (2017). Investigating developers' email discussions during decision-making in Python language evolution. Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering (EASE). (pp. 286-291). New York, NY: ACM. doi: 10.1145/3084226.3084271

Stanger, N. (2017). Characterising relational view updates using relative information capacity. Proceedings of the Australasian Computer Science Week Multiconference (ACSW). 33. New York, NY: ACM. doi: 10.1145/3014812.3014847

Su'a, T., Licorish, S. A., Savarimuthu, B. T. R., & Langlotz, T. (2017). QuickReview: A novel data-driven mobile user interface for reporting problematic app features. Proceedings of the 22nd International Conference on Intelligent User Interfaces (IUI). (pp. 517-522). New York, NY: ACM. doi: 10.1145/3025171.3025178

Tahir, A., Counsell, S., & MacDonell, S. G. (2017). An empirical study into the relationship between class features and test smells. Proceedings of the 23rd Asia-Pacific Software Engineering Conference (APSEC). (pp. 137-144). IEEE. doi: 10.1109/APSEC.2016.029

Winikoff, M. (2017). Debugging agent programs with "why?": Questions. In S. Das, E. Durfee, K. Larson & M. Winikoff (Eds.), Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS). (pp. 251-259). Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems. [Full Paper]

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Alghamdi, M., Regenbrecht, H., Hoermann, S., Langlotz, T., & Aldridge, C. (2016). Social presence and mode of videocommunication in a collaborative virtual environment. Proceedings of the Pacific Asia Conference on Information Systems (PACIS). 126. Retrieved from http://aisel.aisnet.org/pacis2016/126/

Alshaer, A., O'Hare, D., Hoermann, S., & Regenbrecht, H. (2016). Impact of the visual representation of the input device on driving performance in a power wheelchair simulator. In P. Sharkey & A. A. Rizzo (Eds.), Proceedings of the 11th International Conference on Disability, Virtual Reality and Associated Technologies (ICDVRAT). (pp. 65-72). Reading, UK: University of Reading. [Full Paper]

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