Retirement home staff and residents' preferences for healthcare robots
Abstract
As the proportion of people in the older age groups grows, demands on care providers increase. The ability of robotic technology to meet these demands is limited by a lack of acceptance by older people. This study investigates which tasks staff and residents in a retirement village would like a robot to assist with, as well as their attitudes towards robots and preferences for their appearance. Findings show that residents are more positive about robots than staff, and participants prefer a silver robot of 1.25 m height, with wheels and a screen on the body. Residents would most like the robot to assist with detecting falls, turning on and off appliances, lifting, cleaning, medication reminding, making phone calls and monitoring location. Making robots that fit these preferences may increase the acceptance of robotic assistants by older people.
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Most prior HRI participatory design studies with older adults do not include the actual robot, relying instead on video demonstrations, storyboard images, or other images of robots.
“Most of these studies do not include the actual robot, and they instead rely on video demonstrations [6, 16], storyboard images showing what a robot may do [5], or other images of robots [9].”
From Situated Participatory Design: A Method for In Situ Design of Robotic Interaction with Older Adults (2023) · cites this paper as [9]
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Wray, K. H., & Czuprynski, K. (2021) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48506.2021.9561478 · Cited by 2 · see citing works
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Prakash, A. (2013) · SMARTech Repository (Georgia Institute of Technology) · Cited by 1 · see citing works
On Internal Knowledge Representation for Programming Mobile Robots by Demonstration
Abbas, T., & MacDonald, B. A. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-17248-9_13
Self-citationSmart Healthcare Expert System with Medicine Dispenser
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How the Role of a Persuasive Robot Impacts One’s Attitude Towards It
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An HRI Study of an LLM-Based Social Robot Delivering a University Lecture
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- Authors
- Broadbent, E., Tamagawa, R., Kerse, N., Knock, B., Patience, A., & MacDonald, B.
- Affiliations
- University of Auckland (NZ)
- Venue
- RO-MAN 2009 - The 18th IEEE International Symposium on Robot and Human Interactive Communication
- Publisher
- IEEE
- Published
- 2009-09
- Pages
- 645-650
- ISSN
- 1944-9437 (ISSN-L)
- OpenAlex
- W2119553435
- Semantic Scholar
- 7e31422fd5989b1f395ff82f999dd6e3acdb6436
- Cited by
- 79
- References
- 32
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 7 · 2023: 3 · 2022: 5 · 2021: 9 · 2020: 8 · 2019: 3 · 2018: 6 · 2017: 1 · 2016: 5 · 2015: 6 · 2014: 9 · 2013: 2 · 2012: 6
- FWCI
- 8.12
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE RO-MAN (publishedVersion)
- ResearchSpace (University of Auckland) (submittedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Demography › Technology Use by Older Adults
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- healthcare robots, robot acceptance, older adults, retirement homes, nursing home staff, resident preferences, robot appearance, assistive robotics, fall detection, medication reminders, location tracking
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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