I am broadly interested in how consumers construct judgments, decisions, and preferences. I employ experimental methods, big data analysis, and computational cognitive modeling to investigate how choice architecture and contextual factors interact with basic psychological processes to drive consumer behavior. My research has three primary streams; evaluation of consumption objects and experiences, financial decision making, and persistence of the behavioral effects of nudges.
My research is supported by the Social Sciences and Humanities Research Council (SSHRC) via the Joseph-Armand Bombardier Canada Graduate Scholarship - Doctoral Program (CGS-D).
Li, J. C.-H, & Waisman, R. M. (2018). Probability of bivariate superiority: A non-parametric common-language statistic for detecting bivariate relationships. Behavior Research Methods.
Three Minute Thesis
At the 3MT UAlberta Finals on April 11, 2018, I presented my three minute thesis "Nudging Sustained Behaviour Change."
View 3MT video: YouTube (3:22)