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Exploring Affective Representations in Emotional Narratives: An Exploratory Study Comparing ChatGPT and Human
1Department of Psychology, Jeonbuk National University, Jeonju, Republic of Korea.
Cyberpsychology, Behavior and Social Networking
|September 4, 2024
Summary
This study shows that ChatGPT can identify and respond to emotions in stories. However, its emotional representation differs from human emotional experiences, highlighting areas for AI-human interaction improvement.
Area of Science:
- Artificial Intelligence
- Human-Computer Interaction
- Affective Computing
Background:
- Artificial Intelligence (AI) development has advanced significantly, yet its emotional capabilities remain a barrier to effective human communication.
- Understanding AI's affective response representation is crucial for enhancing human-AI interaction.
- Previous research has not fully explored how large language models like ChatGPT process and represent emotional narratives.
Purpose of the Study:
- To investigate how ChatGPT (specifically, the ChatGPT-3.5 Mar 23, 2023 Version) represents affective responses to emotional narratives.
- To compare ChatGPT's affective responses to those of human participants.
- To identify similarities and differences in emotional state representation between AI and humans.
Main Methods:
- Thirty-four participants read affect-eliciting short stories and reported their emotional responses.
- Ten recorded ChatGPT sessions generated responses to the same emotional narratives.
- Classification analyses were used to identify affective categories, valence, and arousal in both human and AI responses.
Main Results:
- ChatGPT successfully identified affective categories, valence, and arousal within and across its sessions.
- Classification accuracies predicting human affective states based on ChatGPT's ratings (and vice versa) were not statistically significant.
- These results indicate distinct mechanisms of affective state representation between ChatGPT and humans.
Conclusions:
- ChatGPT demonstrates consistency in distinguishing emotional states and generating affective responses.
- Significant differences exist in how ChatGPT and humans represent affective states.
- Further research into these representational differences is essential for developing more emotionally intelligent AI systems.
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