ArticleSensors (Basel, Switzerland)2022
Robots in Eldercare: How Does a Real-World Interaction with the Machine Influence the Perceptions of Older People?
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Exploring fear in human-robot interaction: a scoping review of older adults' experiences with social robots.Frontiers in robotics and AI · 2025Pooled it
- The Effect of Using a Rehabilitation Robot for Patients with Post-Coronavirus Disease (COVID-19) Fatigue Syndrome.Sensors (Basel, Switzerland) · 2023Trial
- Humanoid Robot-Assisted Support for Health Care in Older Adults: Systematic Scoping Review.JMIR aging · 2026Article
- 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
- An Assessment of an Inpatient Robotic Nurse Assistant: A Mixed-Method Study.Journal of medical systems · 2024Observational
- 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
- Assistive Robots for Healthcare and Human-Robot Interaction.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
(1) Background: Using autonomous social robots in selected areas of care for community-dwelling older adults is one of the promising approaches to address the problem of the widening care gap. We posed the question of whether a possibility to interact with the technology to be used had an impact on the scores given by the respondents in various domains of needs and requirements for social robots to be deployed in care for older individuals. (2) Methods: During the study, the opinions of older people (65+; n = 113; with no severe cognitive impairment) living in six social care institutions about a robot in care for older people were collected twice using the Users’ Needs, Requirements and Abilities Questionnaire (UNRAQ): after seeing a photo of the robot only and after a 90−150 min interaction with the TIAGo robot. (3) Results: Mean total scores for both assistive and social functions were higher after the interaction (p < 0.05). A positive correlation was found between opinion changes in social and assistive functions (r = 0.4842; p = 0.0000). (4) Conclusions: Preimplementation studies and assessments should include the possibility to interact with the robot to provide its future users with a clear idea of the technology and facilitate necessary customisations of the machine.
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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 OpenQuestion graph.