Promoting Cognitive Health in Elder Care with Large Language Model-Powered Socially Assistive Robots

要旨

As the global population ages, there is increasing need for accessible technologies that promote cognitive health and detect early signs of cognitive decline. This research demonstrates the potential for in-residence monitoring and assessment of cognitive health using large language model (LLM)-powered socially assistive robots (SARs). We conducted a 5-week within-subjects study involving 22 older adults in retirement homes to investigate the feasibility of LLM-powered SARs for promoting and assessing cognitive health. We designed tasks that involved verbal dialogue based on clinically validated cognitive tools. Our findings reveal improved task performance after three robot-administered sessions, with significantly more detailed picture descriptions, fewer word repetitions in semantic fluency, and reduced need for hints. We found that older adults were more socially engaged in robot-administered tasks compared to those administered by a human, and they accepted and were willing to engage with SARs in this context, which had not been tested before.

著者
Maria R.. Lima
Imperial College London, London, United Kingdom
Amy O'Connell
University of Southern California, Los Angeles, California, United States
Feiyang Zhou
University of Southern California, Los Angeles, California, United States
Alethea Nagahara
University of Southern California, Los Angeles, California, United States
Avni Hulyalkar
University of Southern California, Los Angeles, California, United States
Anura Deshpande
University of Southern California, Los Angeles, California, United States
Jesse Thomason
University of Southern California, Los Angeles, California, United States
Ravi Vaidyanathan
Imperial College London, London, United Kingdom
Maja Mataric
University of Southern California, Los Angeles, California, United States
DOI

10.1145/3706598.3713582

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713582

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Digital Health for Different User Needs

G314+G315
7 件の発表
2025-04-30 20:10:00
2025-04-30 21:40:00
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