{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T15:31:36Z","timestamp":1787671896520,"version":"build-2736575974"},"reference-count":39,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Hum Factors"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec sec-type=\"background\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"objective\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"methods\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>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\u2019 Mini-Mental State Examination (MMSE) scores, using a clinical threshold of 20 to distinguish mild (20-26) from moderate-to-severe (&lt;20) impairment. In a single-session, nonrandomized, matched-pair evaluation using minimization-based allocation with an active control condition, performance was assessed via usability testing (System Usability Scale), affect assessment (Positive and Negative Affect Schedule), and blinded psychiatrist-rated memoir quality among 20 participants (10 per arm).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"results\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The experimental group showed significantly greater improvement than the active control group in positive affect, negative affect, and psychiatrist-rated memoir quality (all\n                      <jats:italic>Ps<\/jats:italic>\n                      \u2264.03 by matched-pair analysis; all comparisons remained significant after Benjamini-Hochberg correction), with moderate-to-large effect sizes (Cohen\n                      <jats:italic>d<\/jats:italic>\n                      =0.85\u20101.03 for affect outcomes; rank-biserial\n                      <jats:italic>r<\/jats:italic>\n                      =1.00 for memoir quality). Within the sample (MMSE range 11\u201023), participants in the lower MMSE tier (&lt;20; n=12) appeared to benefit more from AI-driven narrative generation, while those in the higher tier (20-23; n=8) responded better to keyword-based prompting; these subgroup observations are descriptive, given the small cell sizes. The mean System Usability Scale total score of 92.2 (SD 5.1) exceeded the acceptability threshold and fell in the excellent range, though single-session exposure and potential acquiescence bias warrant cautious interpretation.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"conclusions\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>These findings provide preliminary, hypothesis-generating evidence that a personalized AIGC-based chatbot may support short-term affective and narrative outcomes among older adults with cognitive impairment. The adaptive, multimodal design shows promise for human-AI collaboration in memoir writing and older adult care contexts, but larger, adequately powered randomized controlled trials with verified active control fidelity, multisession follow-up, and content source\u2013differentiated outcome scoring are needed before clinical conclusions can be drawn.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2196\/83428","type":"journal-article","created":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T09:55:08Z","timestamp":1784282108000},"page":"e83428-e83428","source":"Crossref","is-referenced-by-count":0,"title":["Personalized Intelligent Chatbot Based on AI-Generated Content Assists Memoir Writing for Older Adults With Cognitive Impairment: Mixed Methods Study"],"prefix":"10.2196","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-0370-5456","authenticated-orcid":false,"given":"Yibo","family":"Meng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3293-9277","authenticated-orcid":false,"given":"Yuan","family":"Que","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-5259-6005","authenticated-orcid":false,"given":"Zhe","family":"Yan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4312-153X","authenticated-orcid":false,"given":"Bingyi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9867-1002","authenticated-orcid":false,"given":"Zixin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0719-142X","authenticated-orcid":false,"given":"Mandi","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9719-0979","authenticated-orcid":false,"given":"Huidi","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2026,8,25]]},"reference":[{"issue":"2","key":"R1","doi-asserted-by":"publisher","first-page":"e105","DOI":"10.1016\/S2468-2667(21)00249-8","article-title":"Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019","volume":"7","author":"Nichols","journal-title":"Lancet Public Health"},{"issue":"3","key":"R2","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.jaging.2007.12.018","article-title":"The dementia narrative: writing to reclaim social identity","volume":"23","author":"Ryan","journal-title":"J Aging Stud"},{"issue":"9","key":"R3","doi-asserted-by":"publisher","first-page":"891","DOI":"10.1111\/bioe.12926","article-title":"To remember, or not to remember? 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