A new study published on arXiv explores how interacting with large language models (LLMs) can enhance human empathic communication. Researchers conducted an experiment with 968 participants who engaged in text-based conversations with an LLM, aiming to offer empathic support. While participants reported feeling empathy, their written responses often failed to convey it effectively. However, an AI coaching intervention that provided personalized feedback significantly improved participants' ability to express empathy without making their responses sound uniform. The study also developed a taxonomy of idiomatic empathic expressions across various personal and workplace scenarios. AI
IMPACT Demonstrates a novel application of AI for cultivating human social-emotional skills, potentially impacting fields like mental health and customer service.
RANK_REASON The cluster contains an academic paper detailing a study on human-AI interaction and its effects on communication. [lever_c_demoted from research: ic=1 ai=1.0]
- Aakriti Kumar
- alphaXiv
- arXiv
- CatalyzeX
- DagsHub
- Hugging Face
- Influence Flower
- large language models
- Litmaps
- ScienceCast
- scite Smart Citations
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