Talk title: Measuring Moral Values with Smartwatch-based Body Sensors


Lirong Sun, Peter A. Gloor

Talk abstract:

We predict the moral values of individuals through their body movements measured with the sensors of a smartwatch. The personal moral values are assessed using the Schwartz Value Theory, which proposes two dimensions of Universal Values (open to change versus conservative, self-enhancement versus self-transcendence). Data for all variables are gathered through the Happimeter, a smartwatch-based body sensing system. Through multilevel mixed-effects generalized linear models, our results show that sensor and mood factors predict a person’s values. We utilized three methods to investigate the relationship between the Big Five Personality Traits (OCEAN: openness, conscientiousness, extraversion, agreeableness, and neuroticism) of a person and their Schwartz Values. This research highlights the use of recent technological advances for studying a person’s values from an integrated perspective, combining body sensors and mood states to investigate individual behaviour and team cooperation.