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The domesticated robot: design guidelines for assisting older adults to age in place
Open accessAbstract
Many older adults wish to remain in their own homes as they age [16]. However, challenges in performing home upkeep tasks threaten an older adult's ability to age in place. Even healthy independently living older adults experience challenges in maintaining their home [13]. Challenges with home tasks can be compensated through technology, such as home robots. However, for home robots to be adopted by older adult users, they must be designed to meet older adults' needs for assistance and the older users must be amenable to robot assistance for those needs. We conducted a needs assessment to (1) assess older adults' openness to assistance from robots; and (2) understand older adults' opinions about using an assistive robot to help around the home. We administered questionnaires and conducted structured group interviews with 21 independently living older adults (ages 65-93). The questionnaire data suggest that older adults prefer robot assistance for cleaning and fetching/organizing tasks overall. However their assistance preferences discriminated between tasks. The interview data provided insight as to why they hold such preferences. Older adults reported benefits of robot assistance (e.g., the robot compensating for limitations, saving them time and effort, completing undesirable tasks, and performing tasks at a high level of performance). Participants also reported concerns such as the robot damaging the environment, being unreliable at or incapable of doing a task, doing tasks the older adult would rather do, or taking up too much space/storage. These data, along with specific comments from participant interviews, provide the basis for preliminary recommendations for designing mobile manipulator robots to support aging in place.
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“Specific to older adults, some studies in HCI and HRI indicate older adults' preference for using robots for household purposes more than for companionship [5,13]”
From "Phantom Friend" or "Just a Box with Information": Personification and Ontological Categorization of Smart Speaker-based Voice Assistants by Older Adults (2019) · cites this paper as [5]
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“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 [6]
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Identifying Specific Reasons Behind Unmet Needs May Inform More Specific Eldercare Robot Design
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MethodSelf-citationEffects of robot capability on user acceptance
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Metadata
- Authors
- Beer, J. M., Smarr, C.-A., Chen, T. L., Prakash, A., Mitzner, T. L., Kemp, C. C., & Rogers, W. A.
- Affiliations
- Georgia Institute of Technology (US)
- Venue
- Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
- Publisher
- ACM
- Published
- 2012-03-05
- Volume
- 2012
- Pages
- 335-342
- PMC
- PMC6592031
- OpenAlex
- W2113295453
- Cited by
- 165
- References
- 26
- Citations by year
- 2026: 8 · 2025: 6 · 2024: 11 · 2023: 10 · 2022: 16 · 2021: 13 · 2020: 5 · 2019: 8 · 2018: 9 · 2017: 14 · 2016: 14 · 2015: 10 · 2014: 21 · 2013: 14 · 2012: 6
- FWCI
- 32.69
- Type
- conference paper
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- ACM/IEEE International Conference on Human-Robot Interaction (HRI) (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Georgia Institute of Technology
- National Institutes of Health
- National Institute on Aging (P01AG017211)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Physical Sciences › Engineering › Control and Systems Engineering › Robotics and Automated Systems
- Keywords
- home robots, assistive robots, aging in place, older adults, needs assessment, robot acceptance, cleaning tasks, mobile manipulators, user preferences, user concerns
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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