Mouse-Behavior Analysis and Adaptive Relational Agents

Philip Davis

Mouse-Behavior Analysis and Adaptive Relational Agents
The goal of this project is to develop tools to sense and adapt to a user's affective state based on his or her mouse behavior. We are developing algorithms to detect frustration level for use in usability studies. We are also exploring how more permanent personality characteristics and changes in mood are reflected in the user’s mouse behavior. Ultimately, we seek to build adaptive relational agents that tailor their interactions with the user based on these sensed affective states.

back to Affective_Computing

]]