Utilising physiological data for augmenting travel behaviour models

Abstract: 
Recent advances in ubiquitous computing have led to the availability of a wide range of new data sources for travel behaviour modelling. In particular, physiological sensor data such as skin conductance, heart rate recordings, eye-tracking information, and electroencephalogram (EEG) have emerged as promising sources of information that could be used to gain insights regarding the traveller's state of mind and his/her decision-making process. The seminar will focus on the promise offered by these emerging data sources and feature case studies on driving behaviour, cycling behaviour and accommodation choice where skin-conductance, heart rate, EEG and eye-tracking data have been used for improving the behavioural insights of the models.

Speaker Biography: 
Charisma Choudhury is a UKRI Future Leader Fellow and Associate Professor at the Institute for Transport Studies, University of Leeds (UoL), where she leads the Choice Modelling Research Group. She also serves as the Deputy-Director of the interdisciplinary Choice Modelling Centre, UoL. Charisma received her PhD from the Massachusetts Institute of Technology (MIT). Prior to joining UoL, she has worked at the Bangladesh University of Engineering and Technology, MIT, RAND Europe and Cambridge Systematics. Her current research focuses on travel behaviour modelling using emerging data sources, particularly in the context of the Global South. Charisma is an Honorary Guest-Professor at Beijing Jiaotong University, China and a Turing Fellow at the Alan Turing Institute. She is the current Vice-Chair (Chair-elect for 2024) of the International Association for Travel Behaviour Research.