Ilkka Leppanen, Ilkka Leppänen, School of Business, Aalto University

Abstract

Decision making among options with many attributes is commonplace in various contexts. I study multiattribute choice problems using process tracing and computational modelling. The method builds on a simple mobile web application where the decision maker scrolls between the options and the app tracks their response dynamics in pixel-time coordinate space. I then use the process tracing data to compare several sequential sampling models in their predictive ability, and find that the best models take advantage of the rich variety of information that process tracing has to offer. These findings demonstrate the potential of process tracing as a valuable tool that can be used to covertly study latent decision processes.

Why should you join?

A novel perspective on how to study multiattribute choice problems based on computational decision science

December 14th 2023

12 PM to 12.40 PM (UK GMT-1)

1 PM; to 1.40 PM (CET, Berlin)

https://us02web.zoom.us/j/85725639365?pwd=Ty9sOVV6czd2UWpFS3NkS3RnN0d0QT09