Care Providers' Perspectives on the Design of Assistive Persuasive Behaviors for Socially Assistive Robots.
| Autor: | Getson C; Autonomous Systems and Biomechatronics Laboratory (ASBLab), Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada. Electronic address: cristina.getson@mail.utoronto.ca., Nejat G; Autonomous Systems and Biomechatronics Laboratory (ASBLab), Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada. |
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| Jazyk: | angličtina |
| Zdroj: | Journal of the American Medical Directors Association [J Am Med Dir Assoc] 2024 Aug; Vol. 25 (8), pp. 105084. Date of Electronic Publication: 2024 Jun 13. |
| DOI: | 10.1016/j.jamda.2024.105084 |
| Abstrakt: | Objectives: The main objectives of this research are (1) to uniquely design assistive behaviors for socially assistive robots using the principles of persuasion from behavioral psychology, and (2) to investigate caregivers' perspectives and opinions on the use of these behaviors to engage and motivate older adults in cognitive activities. Design: We developed 10 unique robot persuasive assistive behavior strategies for the social robot Pepper using both verbal and nonverbal communication modes. Robot verbal behaviors were designed using Cialdini's principles of persuasion; nonverbal behaviors included expansive movements of the body. Care providers' perceptions of the quality, strength, and persuasiveness of these robot persuasive behaviors were assessed based on the Perceived Argument Strength Likert scale. Setting and Participants: Eighteen formal and informal care providers caring for older adults including those living with mild cognitive impairments participated. Methods: An online survey was designed consisting of short videos of the Pepper robot displaying each behavior. After viewing each video, care providers completed the Perceived Argument Strength Likert scale to evaluate 6 attributes for each behavior. They also provided comments. Results: Results show robot assistive behaviors using praise with emotion, along with emotion with commitment were the most positively rated by care providers. Qualitative responses indicate robot body language and speech quality were influencing factors in how a person perceives assistance in human-robot interactions. Conclusions and Implications: Our findings provide new insights into incorporating persuasive strategies into the design of assistive social robot behaviors with the aim of engaging and motivating older adults in an activity. The majority of care providers rated the robot persuasive behaviors positively. In designing a persuasive socially assistive robot for older adults, it is beneficial to display a combination of persuasive strategies, such as praise and commitment with emotion, to address individual users' needs and cognitive levels. Competing Interests: Disclosures The authors declare no conflicts of interest. (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.) |
| Databáze: | MEDLINE |
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