Emotion in Cognitive Architecture: Emergent Properties from Interactions with Human Emotion
This work addresses the challenge of modeling emotion in AI systems for human-agent interaction, though it appears incremental based on the abstract.
The paper tackles the problem of representing emotion in computational cognitive architectures by organizing emotional affect along pleasantness and arousal axes, and demonstrates through interaction studies with human users that this cognitive human-agent interaction approach can effectively represent human internal states and processes.
This document presents endeavors to represent emotion in a computational cognitive architecture. The first part introduces research organizing with two axes of emotional affect: pleasantness and arousal. Following this basic of emotional components, the document discusses an aspect of emergent properties of emotion, showing interaction studies with human users. With these past author's studies, the document concludes that the advantage of the cognitive human-agent interaction approach is in representing human internal states and processes.