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AI for Positivity and Wellbeing

It is commonly accepted that "mental health is a positive concept related to the social and emotional wellbeing of individuals and communities," and "having good mental health, or being mentally healthy, is more than just the absence of illness, rather it is a state of overall wellbeing."

Artificial Intelligence (AI) is concerned with computing technologies that allow machines to see, hear, talk, think, learn, and solve problems, like human being. The huge potential of applying AI for mental health and wellbeing represents an exciting future. In addition, humans may be interconnected in a revolutionary way to stimulate tremendous amount of interesting activities.

The symposium on Artificial Intelligence for Positivity and Wellbeing (ai4pw), is an international forum for academia and industries to exchange visions and ideas in the state of the art and practice of Artificial Intelligence and positivity and wellbeing, as well as to identify the emerging topics and define the future of AI for Positivity and Wellbeing.

TOPICS OF INTEREST include, but are not limited to,​​

  • Human-computer interaction

  • Computer aided mental health

  • Education and learning

  • Computational neuroscience

  • Computational behavior science

  • Humanized companion

  • Activity engineering

  • Positivity

  • Wellbeing 

  • Mindfulness

  • Machine learning and deep learning 

  • Agent technology

  • Multi-modal interaction

  • Computer gaming

  • Robotic intelligence

  • Social and community wellbeing

ORGANIZERS

Fabio Catania, MIT, USA

Chih-Hung Chang, Washington University School of Medicine in St. Louis, USA

Newton Howard, University of Oxford, UK
Phillip Sheu, University of California, Irvine, USA

Chuen-Tsai Sun, National Yang Ming Chiao Tung University, Taiwan

The conference proceedings will be published by the IEEE Computer Society Press. Distinguished quality papers presented at the conference will be selected for the best paper/poster awards and for publication in internationally renowned journals.