{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,11]],"date-time":"2026-11-11T16:27:50Z","timestamp":1794414470347,"version":"4.9.1"},"reference-count":51,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Form Res"],"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n Informal caregivers make up a large share of the care provided to people living with dementia, and experience an elevated risk for anxiety, depression, and caregiving burden. Technology-based interventions, such as mobile apps, aim to support informal caregivers by providing information, training, and mental or social support. Considering the diverse nature of the caregiver experience, AI is being incorporated into such interventions to create more tailored and specific support; however, AI hesitancy may serve as a significant barrier to usage.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n The study aimed to preliminarily assess the levels of AI acceptance in adult informal caregivers of people living with dementia, and generate hypotheses regarding the psychological and contextual factors of AI acceptance.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n Adult, unpaid caregivers were recruited through social media and community partners. A cross-sectional, web-based survey was administered through Qualtrics (Qualtrics, LLC) to evaluate AI acceptance and psychological flexibility (PF). AI acceptance was measured using the Attitude Towards Artificial Intelligence (ATTARI-12) scale, while PF was measured using the Personalized Psychological Flexibility Index (PPFI). Social needs were assessed by the \u2019Accountable Health Communities Health Related Social Needs (AHC-HRSN) tool (Centers for Medicare and Medicaid Services). Descriptive, correlational, and regression analyses were performed to examine the associations between these factors and AI acceptance.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Overall, 31 informal caregivers of people living with dementia completed the survey. With an average age of 60 (SD 10.6) years old, the majority of caregivers were women (29\/31, 94%), Caucasian (25\/31, 81%), highly educated (24\/31, 77% completed some form of higher education), and currently serving in a caregiver role (21\/31, 68%). Mean PPFI and ATTARI-12 scores were moderate (66.4, SD 10.3, and 3.01, SD 0.55, respectively), demonstrating a neutral attitude regarding AI use. In bivariate analyses, ATTARI-12 differed by the caregiver-perceived illness severity (\n P<\/jats:italic>\n <.001). Linear regression suggested trends that the PPFI acceptance subscale (\u03b2=.05, 95% CI 0.002\u20100.097;\n P<\/jats:italic>\n =.04) was associated with ATTARI-12 scores.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n This study suggests that caregivers\u2019 acceptance of such technology may vary according to their care recipient\u2019s disease severity and the acceptance subscale of the PPFI. Additionally, the study provides justification for using the ATTARI-12 and PPFI scales to assess AI acceptance and PF in informal caregivers of people living with dementia, respectively. Future research should explore these factors across a larger and more diversified cohort to further generalize and confirm our findings.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/104072","type":"journal-article","created":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T14:40:58Z","timestamp":1788273658000},"page":"e104072-e104072","source":"Crossref","is-referenced-by-count":0,"title":["Psychological and Contextual Factors of AI Acceptance Among Informal Caregivers of People Living With Dementia: Cross-Sectional Pilot Study"],"prefix":"10.2196","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-8099-0371","authenticated-orcid":false,"given":"Louis","family":"Fisher","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6513-0852","authenticated-orcid":false,"given":"Minh-Nguyet","family":"Hoang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2740-9062","authenticated-orcid":false,"given":"Logan","family":"DuBose","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9168-7845","authenticated-orcid":false,"given":"Qiping","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2026,9,30]]},"reference":[{"issue":"1","key":"R1","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics14010109","article-title":"A systematic review and meta-analysis of artificial intelligence tools in medicine and healthcare: applications, considerations, limitations, motivation and challenges","volume":"14","author":"Younis","journal-title":"Diagnostics (Basel)"},{"key":"R2","doi-asserted-by":"publisher","DOI":"10.1016\/j.techsoc.2020.101410","article-title":"Dimensions of artificial intelligence anxiety based on the integrated fear acquisition theory","volume":"63","author":"Li","journal-title":"Technol Soc"},{"issue":"2","key":"R3","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1080\/10447318.2022.2151730","article-title":"The roles of personality traits, AI anxiety, and demographic factors in attitudes toward artificial intelligence","volume":"40","author":"Kaya","journal-title":"Int J Hum-Comput Interact"},{"issue":"1","key":"R4","volume":"27","author":"Kenku","journal-title":"Afr J Psychol Study Soc Issues"},{"key":"R5","doi-asserted-by":"publisher","DOI":"10.1016\/j.techsoc.2024.102537","article-title":"Comprehension, apprehension, and acceptance: Understanding the influence of literacy and anxiety on acceptance of artificial Intelligence","volume":"77","author":"Schiavo","journal-title":"Technol Soc"},{"issue":"5","key":"R6","doi-asserted-by":"publisher","DOI":"10.1177\/2055207619871808","article-title":"Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: a mixed-methods study","volume":"5","author":"Nadarzynski","journal-title":"Digit Health"},{"issue":"11","key":"R7","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0294028","article-title":"American public opinion on artificial intelligence in healthcare","volume":"18","author":"Rojahn","journal-title":"PLoS ONE"},{"issue":"1","key":"R8","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1177\/00187208211064707","article-title":"Review of the factors affecting acceptance of AI-infused systems","volume":"66","author":"Ismatullaev","journal-title":"Hum Factors"},{"issue":"3","key":"R9","doi-asserted-by":"publisher","first-page":"1157","DOI":"10.3233\/JAD-191092","article-title":"The prevalence of dementia: a systematic review and meta-analysis","volume":"73","author":"Cao","journal-title":"J Alzheimers Dis"},{"key":"R10","unstructured":"Prince M Guerchet M Prina M . 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