Human Behavior Modeling
Papers from the AAAI Spring Symposium
Tanzeem Choudhury, Ashish Kapoor, and Henry Kautz, Cochairs
The Human Behavior Modeling symposium explores methods for creating models of individual and group behavior from data. Models include generative and discriminative statistical models, relational models, and social network models. Data includes low-level sensor data (GPS, RFID, accelerometers, physiological measures, and so on), video, speech, and text. Behaviors are high-level descriptions of purposeful or meaningful activity, including activities of daily living (for example, preparing a meal), interaction between small sets of individuals (for example, having a conversation), and mass behavior of groups (such as the flow of traffic in a city).
While behavior modeling is part of many research communities, such as intelligent user interfaces, machine vision, smart homes for aging in place, discourse understanding, social network analysis, and others, this symposium is distinguished by its emphasis on exploring general representations and reasoning methods that can apply across many different domains.