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  • Jan 7, 2025 | tandfonline.com | Yu Chen |Qingxian Zhao |Meng Liu |Guojie Ma

    ABSTRACTSocially assistive robots (SARs) are increasingly recognized for their potential in helping older adults age in place. Effectively meeting the diverse needs of older adults requires a proper classification of SARs’ functions. However, existing function categories are primarily proposed from the perspective of researchers, rarely from older adults themselves. This study addresses this gap by employing a user-centered design approach to explore how older adults classify SARs’ functions.

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