AAAI Spring Symposium 2009

Human Behavior Modeling

New: Conference program posted

This workshop 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.


Questions the participants in the workshop will discuss include:

Representation: Is it important to make all-levels of the model interpretable?

Generalization: What are some effective strategies for generalization?

Domain Knowledge: How can commonsense prior knowledge be combined with sensor data?

Challenges in Collecting Data: What modeling strategies can be used to address challenges in collecting data used for analysis and training? 

Evaluation: How do we evaluate models in real world scenarios, especially when ground truth data is sparse or unavailable?