We are using new experimental paradigms to test quantum models in the application of the way people make predictions about people based on their faces
We are developing a unifided model of trust that transcends neuroscience, cognition, and social psychology
Testing the use of chatbots in an IT university program
Using neural networks, we aim to test the emotion generalisation hypothesis in autonomous face categorisation
An ongoing project as part of an InnoCentive award
Fell, L., Dehdashti, S., Bruza, P., & Moreira, C. (2019). An Experimental Protocol to Derive and Validate a Quantum Model of Decision-Making. arXiv preprint arXiv:1908.07935 Access here
Moreira, C., Fell, L., Dehdashti, S., Bruza, P., & Wichert, A. (2019). Towards a Quantum-Like Cognitive Architecture for Decision-Making. arXiv preprint arXiv:1905.05176.Access here
Sitbon, L., Fell, L., Poxon, D., Zhang, J., & Geva, S. (2014, November). Towards universal search design. In Proceedings of the 2014 Australasian Document Computing Symposium (p. 109). ACM. Access here
Involved in the creation of a new set of units for the Masters of IT at Queensland University of Technology, I have contributed my knowledge of UX, psychology and cognitive science to the content and teaching of these new and topically relevant units.
IFN621 surveys basic principles of cognitive and social psychology relevant to understanding the individual as information processor. In addition, it provides relevant perspectives and theories of how humans interact with information and details how these perspectives relate to fundamental aspects such as information organization, information requirements and information governance. Finally, it provides an overview of relevant technological tools
IFN623 aims to provide an understanding of the cognitive architecture of human beings and how that influences human behaviour in information interactions. In addition, it aims to develop knowledge of the fundamentals of contemporary information management both from a conceptual and technological perspective. Unit content will be focused on developing understanding of three themes: human information processing, human information interaction, and information processing technologies.
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