Whereas decision making is a frequent everyday life task, its scientific investigation is mainly done in lab studies. However, progress in mobile technology in recent years enables studying such processes in daily life, using digital phenotyping, smartphone technology and wearables. This project will focus on developing methods for robust Activity and Affect Recognition. Affect is one of the most central determinants of adaptive systems. Leveraging recent developments from affective computing, we will extract sentiment and voice features of spoken language from daily life assessments as input for adaptive systems. Moreover, we work on developing data security preserving data collection methods for everyday life environments.

For more information, please visit kd2school.info/ and contact: Tim Schneegans (schneegans@teco.edu)