Age and Generational Aspects in Technology Acceptance and Use
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Item Selection, Optimization and Compensation: Analyzing Older Adults’ Use- Intention of AI-based Devices(2025-01-07) Kniepkamp, Sophie; Wortmann, Theresa; Kroenung, JuliaOlder adults are affected by the digital divide as they use less IT and with lower efficiency. Emerging technologies, namely artificial intelligence (AI), hold the potential to improve or keep up the quality of life for older adults. In the aging process, behavioral patterns change as older adults compensate for age-related losses through targeted selection and behavior optimization. The selection and optimization with compensation (SOC) theory offers a contextualized theory that we applied to explain older adults’ usage behavior towards AI-based devices. We examined the SOC processes of older adults towards their intention to use AI-based devices with a survey of N=210 people aged 65 years and older. Our results show that established constructs such as effort expectancy have limited applicability for older adults, indicating that their age-related adaptation strategies significantly influence their intention to use AI-based devices.Item How Are Digital Coaches’ Anthropomorphic Features Experienced by Young Men? Adopting a Digital Coach to Increase Exercise and Reduce Sitting(2025-01-07) Holkkola, Matilda; Welling, Julianna; Frank, LauriFinnish young men (aged 18–39) are found to exercise too little and sit too much, leading to personal and public health issues. It is suggested that young men are a group that could adopt a digital coach to help them with behavioral change toward a healthier lifestyle. Anthropomorphic features may help users in adopting digitized services with nonhuman actors. Thus, in this qualitative study, we examined (1) how digital coaches’ perceived anthropomorphic features are experienced and (2) how the adoption of digital coaches is experienced by young men. Nine Finnish men aged 20-31 who wanted to change their poor exercising or sitting habits used a digital coach mobile application for one month. After that, individual semi-structural thematic interviews with these participants were conducted and analyzed by phenomenographic analysis. Several mental and visual anthropomorphic features whose presence or absence contribute to the experience and adoption of digital coaches were identified.Item Introduction to the Minitrack on Age and Generational Aspects in Technology Acceptance and Use(2025-01-07) Makkonen, Markus; Walden, Pirkko; Dahlberg, Tomi; Sell, Anna