EmoSoNet: An Emotion-aware Social Network for Emotional Wellbeing

Authors

Zerrin Yumak-Kasap, Swiss Federal Institute of Technology, Lausanne
Yu Chen, Swiss Federal Institute of Technology, LausanneFollow
Pearl Pu, Swiss Federal Institute of Technology, Lausanne

Document Type

Presentation

Publication Date

May 2012

Publication Title

ACM SIGCHI CHI '12 Extended Abstracts on Human Factors in Computing Systems

Keywords

Stress management, social networks, sensors, persuasive technology, gamification

Disciplines

Communication Technology and New Media | Social and Behavioral Sciences | Social Media | Technology and Innovation

Abstract

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.

Comments

This article was published by the Association for Computing Machinery (ACM) and appeared in CHI '12: CHI Conference on Human Factors in Computing Systems, 2012 May. Copyright of the article is held by the owner/author(s).

Recommended Citation

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).