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Synapse
May 17, 2026International Journal of Computational Science and Engineering0 citations

Generating empathetic responses via knowledge augmentation and chain-of-thought in conversational information retrieval systems

ZGZhinan GouYLYan Yu LiMJMengyao Jia

Key Points

  • This research aims to explore how knowledge augmentation and chain-of-thought can enhance empathy in conversational systems.
  • Developed an information retrieval system incorporating knowledge augmentation and chain-of-thought processing.
  • Evaluated the empathetic response generation in various conversational scenarios.
  • Utilized user feedback metrics to assess effectiveness.
  • Demonstrated an increase in user satisfaction by 25% when empathetic responses were generated (p<0.05).
  • Observed improved engagement metrics, with an average conversation length increase of 30%.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Gou et al. (2026) studied this question.

synapsesocial.com/papers/6a095c6d7880e6d24efe2989https://doi.org/10.1504/ijcse.2026.10078433
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