Accepted for/Published in: JMIR Human Factors
Date Submitted: Sep 2, 2025
Date Accepted: Jul 17, 2026
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Personalized intelligent dialogue robot based on AIGC assists memoir writing for elderly people with cognitive impairment: a multi-method collaborative design framework
ABSTRACT
Background:
Elderly individuals with cognitive impairment often face significant challenges in memoir writing, including memory fragmentation, emotional loneliness, and language expression barriers. Although AI-generated content (AIGC) technologies such as GPT-3.5 show potential in content creation, they often lack the personalization and adaptability required for users with dementia.
Objective:
This study aimed to design and evaluate a personalized AIGC-powered conversational robot to assist elderly people with cognitive impairment in memoir writing and emotional support.
Methods:
We developed a multi-method collaborative design framework integrating Kansei Engineering (KE), Quality Function Deployment (QFD), Axiomatic Design (AD), and the TOPSIS decision model. The system dynamically adapts interaction strategies based on users’ Mini-Mental State Examination (MMSE) scores. Evaluation included usability testing via the System Usability Scale (SUS), emotional congruence assessment, and memoir quality analysis across three time points with 20 participants.
Results:
The system achieved high usability (SUS score > 70) and significantly improved emotional congruence and memoir quality in the experimental group compared to controls. Participants with severe cognitive impairment (MMSE ≤ 18) benefited more from AI-driven narrative generation, while those with mild impairment (MMSE ≈ 22) preferred keyword-based prompts.
Conclusions:
The personalized AIGC-based conversational robot effectively supports memoir writing and emotional well-being in elderly individuals with cognitive impairment. Its adaptive, multimodal design promotes meaningful human-AI collaboration and shows potential for enhancing cognitive rehabilitation and eldercare services.
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Copyright
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