A person-environment-object model for data acquisition method of microscopic behavior

Behavior research is limited by the accessibility of the microscopic behavior data. In this study, a PEO (Person-Environment-Object) model is proposed to decompose the diverse microscopic behavior in real world into simple and measurable variables such as position, status, time, and etc., which serves as a foundation for the behavioral data collection. According to the PEO model, then the framework of acquisition program for microscopic behavior data is established based on wireless sensor technology, in order to provide high spatial and temporal resolution behavioral data for deep behavior research and its applications.