Integrating Physiological Data with Large Language Models for Empathic Human-AI Interaction

arXiv:2404.15351v1 Announce Type: cross
Abstract: This paper explores enhancing empathy in Large Language Models (LLMs) by integrating them with physiological data. We propose a physiological computing approach that includes developing deep learning models that use physiological data for recognizing psychological states and integrating the predicted states with LLMs for empathic interaction. We showcase the application of this approach in an Empathic LLM (EmLLM) chatbot for stress monitoring and control. We also discuss the results of a pilot study that evaluates …

abstract arxiv computing cs.hc cs.lg data deep learning eess.sp empathy human language language models large language large language models llms paper them type