A mobile approach-avoidance task

Abstract

This thesis summarizes a PhD research project, in which we successfully developed and tested a smartphone-based version of the AAT. We used the mobile AAT to show that approach-avoidance tendencies can undergo substantial state-like changes. We further demonstrate how these changes can be systematically related to other state-variables and how important health-related outcomes such as overweight and obesity, can be explained by disruptions of these dynamics. Our findings have broad implications for approach-avoidance research and task-based research in general, as they reveal how smartphones can be used to get insights into the dynamic nature of task outcomes and how (disruptions of) these dynamics can have important real-life consequences.