スチュアート　モラン


Stuart Moran is a researcher at the Informatics Research Centre, University of Reading, UK, where he also obtained his B.Sc. in Computer Engineering and Ph.D. in Informatics. While his initial interests were in electronic engineering and hardware design, this soon shifted focus as he began to see the importance of humans and their interaction with computer systems. This led to his current more human-oriented research interests in pervasive computing, technology acceptance, persuasive technologies and human behaviour.

Project

Stuart was awarded a JSPS short-term fellowship to carry out post-doctoral research at the Nishida lab, from July 9th 2011 – January 9th 2012 (6 Months) . The aim of the project is to apply the predictive model (PSA-BI model) developed in Stuart’s thesis to Human-Agent Interactions; with particular focus on anthropormophic agents. The intention is to develop a model which can predict user behavioural responses to humanoid robots and agents, to increase acceptance rates prior to their introduction.

Contact

Nishida Lab, Dept. of Intelligence Science and Technology
Graduate School of Informatics, Kyoto University
Yoshida-Honmachi, Sakyo-ku, Kyoto 606-8501, Japan
e-mail: stuart.moran@ii.ist.i.kyoto-u.ac.jp

Publications

2011

  1. Moran, S. (2011). User Perceptions of System Attributes in Ubiquitous Monitoring: Toward a Model of Behavioural Intention. School of Construction Management and Engineering, and Informatics Research Centre. Reading, University of Reading: 298.
  2. Moran, S., L. Chidzambwa, et al. (2011). Assessment of Assistive Technologies based on the PSA-BI Model. International Conference on PErvasive Technologies Related to Assistive Environments (PETRA ’11). Crete, Greece.
  3. Moran, S., K. Nakata, et al. (2011). A Tool to Support Video Analysis Using a Distributed Cognition Inspired Approach. Fifth International Workshop on Human Aspects In Ambient Intelligence as a part of the International Conference on Intelligent Agent Technology (IAT’11), Campus Scientifique de la Doua, Lyon, France.
  4. Moran, S., I. Wiafe, et al. (2011). User Perceptions of Ubiquitous Monitoring as a Persuasive Strategy. Fifth International Workshop on Human Aspects In Ambient Intelligence as a part of the International Conference on Intelligent Agent Technology (IAT’11), Campus Scientifique de la Doua, Lyon, France.
  5. Nakata, K. and S. Moran (2011). “A Semiotic Analysis of a Model for Understanding User Behaviours in Ubiquitously Monitored Environments ” Special Issue of International Journal of Information Systems and Social Change(3).
  6. Wiafe, I., K. Nakata, et al. (2011). Considering User Attitude and Behaviour in Persuasive Systems Design. The 19th European Conference on Information Systems – ICT and Sustainable Service Development. Helsinki [In Print].

2010

  1. Moran, S. and K. Nakata (2010). “Analysing the Factors Affecting Users in Intelligent Pervasive Spaces.” Intelligent Buildings International: Special Issue on Intelligent Pervasive Spaces for Working and Living 2(1): 57-71.
  2. Moran, S. and K. Nakata (2010). The Role of User Perceptions in Designing Ubiquitous Monitoring Systems. Fourth International Workshop on Human Aspects in Ambient Intelligence as a part of International Conference on Intelligent Agent Technology Toronto, Canada.
  3. Moran, S. and K. Nakata (2010). “Ubiquitous Monitoring and User Behaviour: A Preliminary Model.” Journal of Ambient Intelligence and Smart Environments: Thematic Issue:Computational Modeling of Human-Oriented Knowledge within Ambient Intelligence 2(1): 67-80.
  4. Moran, S. and K. Nakata (2010). Ubiquitous Monitoring in the Office: Salient Perceptions of Data Collection Devices. Symposium on Social Intelligence and Networking (SIN-10) as a part of the Second IEEE International Conference on Social Computing. Minneapolis, USA, IEEE CS.

2009

  1. Moran, S., Y. He, et al. (2009). “Choosing the Best Bayesian Classifier: An Empirical Study.” IAENG International Journal of Computer Science 36(4).
  2. Moran, S., Y. He, et al. (2009). An Empirical Framework for Automatically Selecting the Best Bayesian Classifier. Proceedings of the World Congress on Engineering, 2009. Imperial College, London, UK, Newswood Limited. 1: 289-294.
  3. Moran, S. and K. Nakata (2009). The Behavioural Implications of Ubiquitous Monitoring. Workshop on Human Aspects in Ambient Intelligence, as a part of the IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies. Milan, Italy, IEEE CS: 327 – 330.
  4. Moran, S. and K. Nakata (2009). Ubiquitous Monitoring and Behavioural Change: A Semiotic Perspective. 11th International Conference on Informatics and Semiotics in Organisations (ICISO). X. Feng, K. Liu and G. Jiang. Beijing University of Technology, Beijing, China, Aussino Academic Publishing House, : 449-456
  5. Moran, S. and K. Nakata (2009). Ubiquitous Monitoring and Human Behaviour in Intelligent Pervasive Spaces. Workshop on Social Mobile Web, as a part of the International Conference on Social Computing. Vancouver, Canada, IEEE CS: 1082 – 1087.
  6. Moran, S. and K. Nakata (2009). A User-Centred Framework for Modelling the Behavioural Effects of Ubiquitous Monitoring. The 8th International Workshop on Social Intelligence Design (SID2009). Kansai Seminar House, Kyoto, Japan: 132-139.
  7. Moran, S., K. Nakata, et al. (2009). A Framework for Modelling the Effect of Ubiquitous Monitoring on Staff and Patient Behaviour in Healthcare. PhD Workshop, as part of  the 2nd International Conference of the Health and Care Infrastructure Research and Innovation Centre (HaCIRIC). Brighton, UK 18-24.