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Can a humanoid social robot stimulate the interactivity of cognitively impaired elderly? A thorough study based on computer vision methods

Authors
  • Tulsulkar, Gauri1
  • Mishra, Nidhi1
  • Thalmann, Nadia Magnenat1, 2
  • Lim, Hwee Er3
  • Lee, Mei Ping3
  • Cheng, Siok Khoong4
  • 1 Nanyang Technological University,
  • 2 University of Geneva,
  • 3 Goshen Consultancy Services Pte Ltd, Singapore, Singapore
  • 4 Bright Hill Evergreen Home, Singapore, Singapore
Type
Published Article
Journal
The Visual Computer
Publisher
Springer Berlin Heidelberg
Publication Date
Jul 30, 2021
Pages
1–20
Identifiers
DOI: 10.1007/s00371-021-02242-y
PMID: 34345091
PMCID: PMC8323964
Source
PubMed Central
Keywords
Disciplines
  • Original Article
License
Unknown

Abstract

Social Assistive Robotics is increasingly being used in care settings to provide psychosocial support and interventions for the elderly with cognitive impairments. Most of these social robots have provided timely stimuli to the elderly at home and in care centres, including keeping them active and boosting their mood. However, previous investigations have registered shortcomings in these robots, particularly in their ability to satisfy an essential human need: the need for companionship. Reports show that the elderly tend to lose interests in these social robots after the initial excitement as the novelty wears out and the monotonous familiarity becomes all too familiar. This paper presents our research facilitating conversations between a social humanoid robot, Nadine, and cognitively impaired elderly at a nursing home. We analysed the effectiveness of human–humanoid interactions between our robot and 14 elderly over 29 sessions. We used both objective tools (based on computer vision methods) and subjective tools (based on observational scales) to evaluate the recorded videos. Our findings showed that our subjects engaged positively with Nadine, suggesting that their interaction with the robot could improve their well-being by compensating for some of their emotional, cognitive, and psychosocial deficiencies. We detected emotions associated with cognitively impaired elderly during these interactions. This study could help understand the expectations of the elderly and the current limitations of Social Assistive Robots. Our research is aligned with all the ethical recommendations by the NTU Institutional Review Board.

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