Identifying Features that Enhance Older Adults' Acceptance of Robots: A Mixed Methods Study.

Journal: Gerontology
PMID: 30844813

Abstract

BACKGROUND: With global aging, robots are considered a promising solution for handling 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, selective optimization with compensation model predicts that older adults would accept robots that compensate for their functional losses.

Authors

  • Li Chu
    Department of Psychology, National Taiwan University, Taipei, Taiwan.
  • Hung-Wen Chen
    Department of Psychology, National Taiwan University, Taipei, Taiwan.
  • Pei-Yi Cheng
    Department of Psychology, National Taiwan University, Taipei, Taiwan.
  • Pokuan Ho
    Department of Psychology, National Taiwan University, Taipei, Taiwan.
  • I-Tan Weng
    Department of Psychology, National Taiwan University, Taipei, Taiwan.
  • Pei-Ling Yang
    Department of Psychology, National Taiwan University, Taipei, Taiwan.
  • Sung-En Chien
    Department of Psychology, National Taiwan University, Taipei, Taiwan.
  • Yun-Chen Tu
    Department of Psychology, National Taiwan University, Taipei, Taiwan.
  • Chien-Chun Yang
    Department of Psychology, National Taiwan University, Taipei, Taiwan.
  • Te-Mei Wang
    Industrial Technology Research Institute, Hsin-Chu, Taiwan.
  • Helene H Fung
    Department of Psychology, The Chinese University of Hong Kong, Hong Kong, China.
  • Su-Ling Yeh
    Department of Psychology, National Taiwan University, Taipei, Taiwan, suling@ntu.edu.tw.

Keywords

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