AFOSR
Many have argued that emotion is fundamental to cognition, so it is perhaps surprising that computational models of emotion have not received much attention from researchers in artificial intelligence and cognitive science until very recently.
Our objective is to model the relationship between emotion and cognition by developing an emotionally evocative interactive social problem-solving task where individuals can take explicit actions leading to measurable outcomes as well as describe their emotional responses.
This test bed will allow us to characterize aggregate trends and individual differences in problem solving behavior. Primarily, this will serve as a basis for validating and improving integrated models of emotion and cognition. Additionally, as subjects can engage in and receive feedback about the problem solving characteristics, it has potential as a training tool for teaching students to self-reflect on their emotional responses to situations and how this may alter their problem solving styles.
In terms of basic science, we would like to use computational models to concretize psychological theories concerning the relationship between emotion, cognition and behavior, and to collect a body of human performance data with which to validate and inform this process. In terms of engineering, we would like to construct a problem solving test bed that will allow direct comparisons between human and simulated problem solving performance. This test bed will have potential value in teaching trainees to better introspect on the influence of emotion on their own problem solving.
This project differs from others in the following ways:
- Emphasizes rigorous evaluation of a computational model of emotion against human performance data.
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