This paper presents our initial ideas towards developing an emotion-aware social network for the purpose of increasing emotional wellbeing. The framework will use sensors and behavior analysis methods in order to infer users’ stress level automatically with minimal user effort and use audio, animation and vibro-tactile feedback for enhanced engagement. Additionally, we will explore the role of social support, social influence and gamification for sustained behavior change.
Zerrin Yumak-Kasap, Yu Chen, and Pearl Pu. "EmoSoNet: An Emotion-aware Social Network for Emotional Wellbeing" ACM SIGCHI CHI '12 Extended Abstracts on Human Factors in Computing Systems (2012).