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

Tulsulkar, Gauri ; Mishra, Nidhi ORCID iD icon 1; Thalmann, Nadia Magnenat; Lim, Hwee Er; Lee, Mei Ping; Cheng, Siok Khoong
1 Karlsruhe Service Research Institute (KSRI), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

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. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000175140
Veröffentlicht am 15.10.2024
Originalveröffentlichung
DOI: 10.1007/s00371-021-02242-y
Scopus
Zitationen: 20
Web of Science
Zitationen: 19
Dimensions
Zitationen: 26
Cover der Publikation
Zugehörige Institution(en) am KIT Karlsruhe Service Research Institute (KSRI)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 12.2021
Sprache Englisch
Identifikator ISSN: 0178-2789, 1432-2315
KITopen-ID: 1000175140
Erschienen in The Visual Computer
Verlag Springer
Band 37
Heft 12
Seiten 3019–3038
Vorab online veröffentlicht am 30.07.2021
Nachgewiesen in Scopus
Dimensions
Web of Science
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