Self-Tracking and Collective Intelligence for Personal Wellness
Papers from the 2012 AAAI Spring Symposium
Takashi Kido, Keiki Takadama, Program Cochairs
How can we quantify our health? How can our health data be integrated into personalized medicine, improved wellness, and contributions to scientific discovery? These are the significant questions to improve our daily life. To tackle this issue, our symposium aims to explore the answers to the above questions by integrating two approaches, individual and collective viewpoints, in improving personal wellness. The approach from the individual viewpoint focuses on recently developed self-tracking technologies for monitoring personal health conditions such as sleep, diet, exercise, and vital signs data, and for analyzing personal medical data and personal genome data. The approach from the collective viewpoint focuses on collective intelligence as a potential resource for finding useful knowledge for personal wellness from the knowledge of other individuals and groups. The role of artificial intelligence and other technologies is examined in helping to create value in our future personal wellness. This symposium discussed possible solutions for personal wellness.