Wearable Affective Life-Log System for Understanding Emotion Dynamics in Daily Life
This work addresses the problem of monitoring and improving emotional well-being for individuals in daily life, particularly in school settings, but it appears incremental as it builds on existing physiological sensing methods.
The researchers tackled the problem of understanding emotion dynamics in daily life by developing a wearable affective life-log system (ALIS) that detects emotional changes and analyzes cause-and-effect relationships, with real-world experiments showing it can build causal structures to find effective stress relievers for stressful situations in school life.
Past research on recognizing human affect has made use of a variety of physiological sensors in many ways. Nonetheless, how affective dynamics are influenced in the context of human daily life has not yet been explored. In this work, we present a wearable affective life-log system (ALIS), that is robust as well as easy to use in daily life to detect emotional changes and determine their cause-and-effect relationship on users' lives. The proposed system records how a user feels in certain situations during long-term activities with physiological sensors. Based on the long-term monitoring, the system analyzes how the contexts of the user's life affect his/her emotion changes. Furthermore, real-world experimental results demonstrate that the proposed wearable life-log system enables us to build causal structures to find effective stress relievers suited to every stressful situation in school life.