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Exploring Affective Representations in Emotional Narratives: An Exploratory Study Comparing ChatGPT and Human

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This summary is machine-generated.

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.

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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.