Sensors (Oct 2021)

Social Robots for Evaluating Attention State in Older Adults

  • Yi-Chen Chen,
  • Su-Ling Yeh,
  • Tsung-Ren Huang,
  • Yu-Ling Chang,
  • Joshua O. S. Goh,
  • Li-Chen Fu

DOI
https://doi.org/10.3390/s21217142
Journal volume & issue
Vol. 21, no. 21
p. 7142

Abstract

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Sustained attention is essential for older adults to maintain an active lifestyle, and the deficiency of this function is often associated with health-related risks such as falling and frailty. The present study examined whether the well-established age-effect on reducing mind-wandering, the drift to internal thoughts that are seen to be detrimental to attentional control, could be replicated by using a robotic experimenter for older adults who are not as familiar with online technologies. A total of 28 younger and 22 older adults performed a Sustained Attention to Response Task (SART) by answering thought probes regarding their attention states and providing confidence ratings for their own task performances. The indices from the modified SART suggested a well-documented conservative response strategy endorsed by older adults, which were represented by slower responses and increased omission errors. Moreover, the slower responses and increased omissions were found to be associated with less self-reported mind-wandering, thus showing consistency with their higher subjective ratings of attentional control. Overall, this study demonstrates the potential of constructing age-related cognitive profiles with attention evaluation instruction based on a social companion robot for older adults at home.

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