Selection, Optimization and Compensation: Analyzing Older Adults’ Use- Intention of AI-based Devices

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dc.contributor.authorKniepkamp, Sophie
dc.contributor.authorWortmann, Theresa
dc.contributor.authorKroenung, Julia
dc.date.accessioned2024-12-26T21:05:04Z
dc.date.available2024-12-26T21:05:04Z
dc.date.issued2025-01-07
dc.description.abstractOlder 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.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2025.096
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.other9796bc46-c15e-4707-86fe-b3281410f203
dc.identifier.urihttps://hdl.handle.net/10125/108934
dc.relation.ispartofProceedings of the 58th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAge and Generational Aspects in Technology Acceptance and Use
dc.subjectartificial intelligence, digital divide, older adults, selection and optimization with compensation theory, use behavior
dc.titleSelection, Optimization and Compensation: Analyzing Older Adults’ Use- Intention of AI-based Devices
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage799

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