Research

I study motivated decision making and behavior change. My approach is interdisciplinary and multimodal: I use diverse methods (e.g., physiological monitoring, genomics, experience sampling, eye tracking, neuroimaging, pharmacological manipulation, and genomics) to resolve and integrate the many signals that describe individual behavior. By characterizing the neural and psychological mechanisms supporting learning, decision making, and self regulation, I develop robust models of behavior that can inform more effective behavior change interventions.

My current research focuses on two questions:

• 1. Can novel approaches to preference elicitation resolve unique preference signals and improve prediction of future outcomes?

  2. Can psychology and neuroscience inspire more effective support for creativity and problem solving, especially when combined with generative AI? 

Work in these areas supports TRI's Future Product Innovation efforts and the joint goals of supporting creative work, especially in design, and improving consumer preference prediction for innovative, new products and services.

©2024 Shabnam Hakimi