Causality analysis of daily life activity using life log data and a Bayesian network
Our objective is to develop a method to control human behavior through changes in the surrounding environment, and, as a result, improve the quality of life. Behavior control requires finding the causal relationships between behavior and environmental parameters, and one related approach is known as Skinners applied behavior analysis. In the present study, we expand Skinners framework using recent developments in information technology (IT) and propose a new systematic method for developing a behavior control model, based on life log data, by 1) collecting spatial-temporal life log data using a sensor house, 2) interactively annotating psychological information to the spatial-temporal data, 3) constructing a Bayesian Network from the data, and 4) analyzing the causality of behavior using the constructed causal network.
Kosei Shiraishi Yoshifumi Nishida Yoichi Motomura Hiroshi Mizoguchi
Tokyo University of Science2641 Yamazaki, Noda-shi, Chiba 278-8510, Japan National Institute of Adva National Institute of Advanced Industrial Science and Technology (AIST)2-41-6 Aomi, Koto-ku, Tokyo 1 Tokyo University of Science 2641 Yamazaki, Noda-shi, Chiba 278-8510, Japan National Institute of Adv
国际会议
17th World Congress on Ergonomics(第十七届国际人类工效学大会)
北京
英文
1-7
2009-08-09（万方平台首次上网日期，不代表论文的发表时间）