Vollständiger Abstract
Worum geht es in dieser Arbeit?
Abstract Background Older adults with cognitive impairment often face significant challenges in memoir writing, including memory fragmentation, emotional loneliness, and speech and language disorders. Although AI-generated content (AIGC) technologies such as GPT-3.5 show potential in creative tasks, they often lack the personalization and adaptability required for users with dementia. Generic AIGC tools often fail to address the heterogeneous cognitive and emotional needs of this population. Objective This study aimed to design and evaluate, as a proof-of-concept, a personalized AIGC-powered chatbot to assist older adults with cognitive impairment in memoir writing and emotional support. Methods We developed a multimethod collaborative design framework integrating Kansei Engineering, Quality Function Deployment, Axiomatic Design, and the Technique for Order of Preference by Similarity to Ideal Solution decision model. The system dynamically adapts interaction strategies based on users’ Mini-Mental State Examination (MMSE) scores, using a clinical threshold of 20 to distinguish mild (20-26) from moderate-to-severe (
Bibliografischer Nachweis
Publikationsdaten
- Autor:innen
- Yibo Meng, Yuan Que, Zhe Yan, Bingyi Liu, Zixin Wang, Mandi Yang, Huidi Lu
- Quelle
- JMIR Human Factors
- Publikation
- 2026-01-01
- Band / Ausgabe
- Nicht angegeben
- Seiten
- Nicht angegeben
- ISSN / ISBN
- 2292-9495
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Zitierfähiger Nachweis
Yibo Meng, Yuan Que, Zhe Yan, Bingyi Liu, Zixin Wang, Mandi Yang, Huidi Lu (2026). Personalized Intelligent Chatbot Based on AI-Generated Content Assists Memoir Writing for Older Adults With Cognitive Impairment: Mixed Methods Study. JMIR Human Factors. https://doi.org/10.2196/83428