ArticleInternational journal of environmental research and public health2021
UNRAQ-A Questionnaire for the Use of a Social Robot in Care for Older Persons. A Multi-Stakeholder Study and Psychometric Properties.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Nursing Staff's Perspectives of Care Robots for Assisted Living Facilities: Systematic Literature Review.JMIR aging · 2024Pooled it
- Instruments for Measuring Psychological Dimensions in Human-Robot Interaction: Systematic Review of Psychometric Properties.Journal of medical Internet research · 2024Pooled it
- From Technical Performance to Assistive Validity: A Critical Review of Evaluation Approaches for AI-Enabled Assistive Technology.Healthcare (Basel, Switzerland) · 2026Review
- Clinical employment and nursing students' attitudes towards a humanoid social robot in geriatric care: implications for the public health workforce.Frontiers in public health · 2026Article
- Needs of older adults in Kazakhstan: analysis and psychometric properties of the localized version of the EASYCare standard 2010 instrument.Frontiers in public health · 2025Article
- When a notification at the right time is not enough: the reminding process for socially assistive robots in institutional care.Frontiers in robotics and AI · 2024Article
- Determinants of Attitude to a Humanoid Social Robot in Care for Older Adults: A Post-Interaction Study.Medical science monitor : international medical journal of experimental and clinical research · 2023Article
- The Godspeed Questionnaire Series in the Assessment of the Social Robot TIAGo by Older Individuals.Sensors (Basel, Switzerland) · 2023Article
- The Effects of Stakeholder Perceptions on the Use of Humanoid Robots in Care for Older Adults: Postinteraction Cross-Sectional Study.Journal of medical Internet research · 2023Article
- Robots for Elderly Care: Review, Multi-Criteria Optimization Model and Qualitative Case Study.Healthcare (Basel, Switzerland) · 2023Article
- Robots in Eldercare: How Does a Real-World Interaction with the Machine Influence the Perceptions of Older People?Sensors (Basel, Switzerland) · 2022Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
(1) Background: while there exist validated measures to assess the needs of older people, there are comparatively few validated tools to assess needs and requirements for the use of robots. Henceforth, the aim of the study is to present and validate such a tool. (2) Methods: The study group included 720 subjects (mean age 52.0 ± 37.0, 541 females) who agreed to fill the Users' Needs, Requirements, and Abilities Questionnaire (UNRAQ). The validation part of the study included 125 persons. (3) Results: the acceptance of the robot was good in the whole group. The social functions were rated worse than assistive ones. A correlation was found between the scores of social and assistive functions. The respondents claimed that older adults were not prepared to interact with the robot and not very good at handling it, and were sceptical about their willingness to learn to operate the robot. The Cronbach alpha value for the whole questionnaire was 0.95 suggesting excellent internal consistency, and the ICC value of 0.88 represents excellent agreement; (4) Conclusions: We observed a good overall acceptance of the robot across the studied group. There is considerable demand for the use of a social robot in care for older people.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.