Reading Users' Minds from What They Say: An Investigation into LLM-based Empathic Mental Inference

arXiv:2403.13301v1 Announce Type: cross
Abstract: In human-centered design, developing a comprehensive and in-depth understanding of user experiences, i.e., empathic understanding, is paramount for designing products that truly meet human needs. Nevertheless, accurately comprehending the real underlying mental states of a large human population remains a significant challenge today. This difficulty mainly arises from the trade-off between depth and scale of user experience research: gaining in-depth insights from a small group of users does not easily scale to a larger population, …

abstract arxiv cs.cl cs.hc design designing human inference investigation llm population products reading type understanding