The Relationship Between Emotion Models and Artificial Intelligence
Christoph Bartneck, Michael J. Lyons, Martin Saerbeck

TL;DR
This paper discusses the role of emotion models, especially the OCC model, in human-computer interaction and examines their limitations due to reliance on artificial intelligence.
Contribution
It provides a critical reflection on the limitations of the OCC emotion model and other AI-dependent emotion models in human-computer interaction.
Findings
The OCC model is widely used for emotion synthesis in embodied characters.
Many developers rely solely on the OCC model for emotional expression.
The study highlights limitations of emotion models due to their dependence on AI.
Abstract
Emotions play a central role in most forms of natural human interaction so we may expect that computational methods for the processing and expression of emotions will play a growing role in human-computer interaction. The OCC model has established itself as the standard model for emotion synthesis. A large number of studies employed the OCC model to generate emotions for their embodied characters. Many developers of such characters believe that the OCC model will be all they ever need to equip their character with emotions. This study reflects on the limitations of the OCC model specifically, and on the emotion models in general due to their dependency on artificial intelligence.
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Taxonomy
TopicsSocial Robot Interaction and HRI · Artificial Intelligence in Games · Human Motion and Animation
