The *AAAI 2009 Spring Symposium on Human Behavior Modeling* will explore
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, etc.), video, speech, and text
* Behaviors include high-level descriptions of purposeful and
meaningful activity or abstractions of cognitive and affective
states. These include activities of daily living (e.g., preparing
a meal), interaction between small sets of individuals (e.g.,
having a conversation), mass behavior of groups (e.g. the flow of
traffic in a city) and related internal user states.

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 workshop will be distinguished by its emphasis on exploring general
representations and reasoning methods that can apply across many
different domains.