Identifying features that enhance Taiwanese older adults’ acceptance of robots: A mixed methods study
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摘要Objective: With global aging, robots are considered a promising solution for the shortage of aged care and companionships. However, these technologies would serve little purpose if their intended users do not accept them. While the socioemotional selectivity theory predicts that older adults would accept robots that offer emotionally meaningful relationships, the selective optimization with compensation model predicts that older adults would accept robots that compensate for their functional losses. The present study aims to capture older adults’ expectations for robots and compare older adults’ acceptance ratings for two existing robots, a humanlike service robot and an animal-like companion robot.

Method: A mixed methods study was conducted with 20 healthy, community-dwelling Taiwanese older adults (age range: 60-80). Participants first completed the semi-structured interview on their ideal robot, followed by the administration of the Unified Theory of Acceptance and Use of Technology questionnaires after receiving information of the two robots to examine acceptance for each robot.

Results: From the interview data, a collection of older adults’ ideal robot characteristics has emerged with highlights of humanlike qualities. From the questionnaire data, respondents showed higher acceptance for the service robot than the companion robot regarding attitude, perceived adaptiveness, perceived usefulness, and trust. From the mixed method analyses, the finding that older adults had higher positive attitude towards the service robot than the companion robot was predicted by higher expectation or preference for robots with more service-related functions. Our findings provide practical suggestions for future robot designs that target the older populations.
著者Li Chu, Hung-Wen Chen, Pei-Yi Cheng, Pokuan Ho, I-Tan Weng, Pei-Ling Yang, Sung-En Chien, Yun-Chen Tu, Chien-Chun Yang, Te-Mei Wang, Helene H. Fung, Su-Ling Yeh
會議名稱U.S.-Hong Kong 2018 Conference "Aging across Time and Contexts"
會議地點The Chinese University of Hong Kong

上次更新時間 2018-26-10 於 12:46