Factors associated with older adults’ acceptance of socially assistive robots in elder care : a scoping review of quantitative findings (WP1.2)Laznik, Jerneja (Avtor) Hvalič Touzery, Simona (Avtor) Šetinc, Mojca (Avtor) socially assistive robotsacceptancecommunity-dwelling older adultsquantitative studiesscoping reviewThe potential of socially assistive robots (SARs) to support older adults in everyday life, is becoming increasingly recognized, leading to growing research on their use in elder care. Their acceptance is shaped by a wide range of factors related to older adults and their circumstances, as well as by the characteristics and functions of SARs, which vary in their capabilities, autonomy, and intended use. Existing reviews have identified numerous factors potentially relevant to SAR acceptance across different populations of older adults and health and care contexts. However, they have approached acceptance more broadly, through perceptions, preferences, barriers and facilitators, rather than factors statistically examined in relation to SAR acceptance. This scoping review synthesizes quantitative evidence on factors associated with SAR acceptance among community-dwelling older adults, distinguishing between bivariate and multivariable findings. It builds on factors derived from established technology models with additional factors identified across included studies. A scoping review was conducted following established methodological guidance and reported in line with PRISMA-ScR. In April 2026, a systematic search was conducted using the NUK mEga search to identify relevant literature. Additional studies were identified through backward reference screening and supplementary screening of previously collected project materials. Fourteen eligible studies reported quantitative evidence, were conducted among community-dwelling older adults, examined SAR acceptance as measurable outcome, and examined factors in relation to SAR acceptance. Data was charted and synthesized using a descriptive approach. A hybrid deductive–inductive coding strategy combined deductive theory-derived codes from established technology acceptance models with inductive codes emerging from the data. The data were analysed in ATLAS.ti 9. We identified 108 unique acceptance factors, which were organised in three groups and seven categories. Theory-derived acceptance factors comprised of 11 factors, while 60 user-related factors were organized into four categories, and 37 technology-related factors into three categories. Of these, 71 factors were examined as direct predictors in multivariable analyses, while 91 were examined in bivariate analyses. Bivariate findings strongly supported theory-derived acceptance factors, with 10 of 11 consistently significantly associated with SAR acceptance, while evidence from multivariable analyses was more limited. Perceived usefulness/performance expectancy showed the strongest evidence across multiple studies, although findings were not fully consistent. Among user-related acceptance factors, the strongest evidence emerged in a category of technology-related user characteristics. Technology use self-efficacy, robot use self-efficacy, technology enthusiasm, and digital belongingness positively predicted SAR acceptance in multivariable analyses, while robot anxiety negatively predicted SAR acceptance. Evidence in a group of technology-related acceptance factors was fragmented. Convenience emerged as one of the more consistently relevant factors across studies. Findings suggest that established technology acceptance models remain relevant for understanding SAR acceptance among community-dwelling older adults, while also highlighting the relevance of factors extending beyond these models. Older adults’ perceived capabilities, confidence, and relationship with technology and the digital environment may be particularly important, along the extent to which SARs are perceived to offer benefits in everyday life. On the other hand, the findings suggest that SAR acceptance depends less on older adults’ demographic characteristics and broader non-technological context.20262026-10-12 15:24:08Neznano189685sl