Possibilities and challenges of aI utilization in dementia insurance Products: evidence from Japan
Possibilities and challenges of aI utilization in dementia insurance Products: evidence from Japan

Summary/Abstract: Japan faces an aging population and a sharp increase in dementia patients. Consequently, private dementia insurance has emerged as an important solution, though its market share remains limited. Advances in artificial intelligence (AI) now enable non-invasive early detection of dementia, indicating a possible shift from traditional “post-guarantee” models to “prevention-support” insurance. However, social acceptance of AI-based insurance products remains largely underexplored.This study applies an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model, incorporating trust as a key construct. Based on a preliminary survey of 133 insurance subscribers, data were analyzed using multiple regression analysis. The results show that social influence and trust are the strongest positive predictors of behavioral intention to use. Effort expectancy also had a posi- tive effect, while performance expectancy showed a negative impact. This suggests that overly high expectations for AI performance might hinder adoption.These findings offer practical implications for insurance providers, indicating that fostering trust and promoting social acceptance may be more effective strategies than merely emphasizing techni- cal performance. Moreover, the study contributes to existing literature by extending the UTAUT model and providing fresh insights into user acceptance of AI-driven insurance services.

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