Trust is defines trust as “the attitude that an agent will help achieve an individual’s goals in a situation characterized by uncertainty and vulnerability” (Lee and See 2004).

Trust has been realised as one of the most important factors in management and organisational behaviour for all personal and business decision making as well as for efficiency and task performance. It is also found to be a critical factor driving human behaviour in human-machine interactions with automation systems in modern complex high-risk domains such as aviation, and the military command and control. This project aims to develop automatic, real-time, and implicit methods of assessing human-machine interactions and analysing multimodal and social behavioural features to provide dynamic measure of trust and to perform uncertainty-aware trust calibration. The research outcomes will help achieve some adaptive system response according to users’ current trust perception as a strategy to improve the user’s trust and the effectiveness of communication between the user and the system. This will help improve their overall system interaction experience, task performance, and decision making.

Selected Publications

  1. Jianlong Zhou, S. Z. Arshad S. Luo and F. Chen. Effects of Uncertainty and Cognitive Load on User Trust in Predictive Decision Making. the 16th IFIP TC.13 International Conference on Human-Computer Interaction (INTERACT 2017), 2017.(Reviewer’s Choice Award), (“The Brian Shackel Award” in recognition of the most outstanding contribution with international impact in the field of human interaction with, and human use of, computers and information technology). (PDF)
  2. Ahmad Khawaji, Fang Chen, Jianlong Zhou, and Nadine Marcus. Trust and Cognitive Load in the Text-Chat Environment: The Role of Mouse Movement. Proceedings of the 26th Australian Computer-Human Interaction Conference on Designing Futures (OzCHI 2014), Pages 324-327, 2014. (PDF)