ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

WELL-BEING 2016 - Symposium on WELL-BEING COMPUTATION: AI MEETS HEALTH AND HAPPINESS SCIENCE

Date2016-03-21 - 2016-03-23

Deadline2015-12-01

VenueStanford University, USA - United States USA - United States

Keywords

Websitehttps://www.aaai.org/Symposia/Spring/spr...

Topics/Call fo Papers

Well-being computing is an information technology that aims to promote psychological wellbeing (that is, happiness) and maximize human potential. Our environment escalates stress, provides unlimited caffeine, distributes nutrition-free "fast" food, and encourages unhealthy sleep behavior. For this issue, wellbeing computing provides a way to understand how our digital experience affects our emotions and our quality of life and how to design a better wellbeing system that puts humans at the center.
Today great advances are being made both in the science of health and wellbeing and artificial intelligence (AI). Synergy between these two fields can bear fruits in well-being computing. It is now very important to share these scientific findings and AI methodologies for better human centric system design; Well-being computing is where AI meets health/happiness sciences.
This symposium is aimed at sharing latest progress, current challenges and potential applications for our health and happiness improvement in the context of Wellbeing computing. The evaluation of digital experience and understanding of human health and happiness from the viewpoint of well-being computing is also welcome. This symposium will bring together an interdisciplinary group of researchers to discuss possible solutions for our health and happiness by focusing on AI techniques.
Scope of Interests
The following topics are scope of our interests, but not limited to the following:
Methods for quantifying our health happiness and well-being
Methods for analyzing the health and wellness data to discover the new meanings. (2-1)
discovery informatics technologies; (2-2) cognitive and biomedical modeling
Methods for designing better health and well-being space
Applications, platforms, and field studies

Last modified: 2015-09-01 23:11:24