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Incorporating Multimodal Directional Interpersonal Synchrony into Empathetic Response Generation.

Jingyu Quan1, Yoshihiro Miyake1, Takayuki Nozawa2

  • 1Department of Computer Science, Institute of Science Tokyo, Yokohama 226-8502, Japan.

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Summary

This study shows that incorporating interpersonal synchrony into AI models enhances empathetic responses. Positive synchrony boosts emotional reactions, while both positive and negative synchrony improve interpretation in AI communication.

Keywords:
affective computingempathetic response generationmultimodal learning

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Area of Science:

  • Artificial Intelligence
  • Computational Linguistics
  • Affective Computing

Background:

  • Interpersonal synchrony, the coordination between individuals, is crucial for effective human communication and empathy.
  • Existing AI models for empathetic response generation often lack nuanced understanding of interpersonal dynamics.
  • Modeling multimodal directional synchrony (positive and negative) offers a novel approach to enhance AI empathy.

Purpose of the Study:

  • To investigate the impact of multimodal directional interpersonal synchrony on AI-generated empathetic responses.
  • To propose and evaluate an AI model incorporating cosine similarity-based interpersonal synchrony.
  • To analyze how positive and negative synchrony influence language and empathy levels in AI responses.

Main Methods:

  • Development of an AI model integrating multimodal directional interpersonal synchrony (positive and negative) using cosine similarity.
  • Comparative experiments evaluating models with and without synchrony features.
  • Analysis of generated responses at linguistic and empathy levels.

Main Results:

  • Models incorporating multimodal synchrony produced responses closer to ground truth and exhibited greater diversity.
  • Positive synchrony was associated with enhanced emotional reactions, reduced exploration, and improved interpretation.
  • Negative synchrony correlated with reduced exploration and increased interpretation in AI responses.

Conclusions:

  • Multimodal directional interpersonal synchrony is a significant factor in improving AI empathetic response generation.
  • The proposed model successfully integrates synchrony features, leading to more human-like and empathetic AI communication.
  • Findings highlight the distinct roles of positive and negative synchrony in AI's emotional and cognitive processing for empathy.