I am currently an Assistant Professor in the School of Computing and Electrical Engineering and School of Humanities and Social Sciences at Indian Institute of Technology. I am applying my knowledge and skills in the fields of psychology, public policy, and computer science to explore how humans make decisions on social, managerial, and environmental issues. My Ph.D. thesis focused on answering the question: why do we want to defer actions on climate change and I have investigated the question by applying literature on people’s risk-preferences, time-preferences, social-cultural dilemmas, and linear thinking. I have used lab-based methods involving human participants and cognitive models to investigate my research questions.
In addition to my thesis research, I have investigated how people explore and exploit alternatives and make decisions from experience in risk and uncertainty at both individual and group levels. For this investigation, I have created human factors and cognitive models of human behavior using principles of case-based reasoning, reinforcement learning, and Bayesian learning theories. The typical approach I have followed has focused on model creation, prediction, validation by running lab-based experiments, and further model generalization or model cross-validation in novel task situations.
For more information, please go to Applied Cognitive Science (ACS) Lab
- Artificial intelligence and cognitive modeling (modeling human behavior in dynamic tasks through computer algorithms)
- Human-Computer Interaction (the study of interaction between people and computers)
- Environmental decision making (understanding human behavior in environmental problems)
- Judgment and decision making (understanding human behavior in problems involving risk and uncertainty)
- Situation awareness (recognition, comprehension, and projection of a situation in the decision environment)