Acceptance and perceived usefulness of robots to assist with activities of daily living and healthcare tasks
Abstract
As the number of older adults living with chronic conditions continues to rise, they will require assistance with activities of daily living (ADL) and healthcare tasks to continue living independently in their homes. One proposed solution to assist with the care needs of an aging population and a shrinking healthcare workforce is robotic technology. Using a cross-sectional survey design, we purposively sampled adults (≥18 years old) to assess generational acceptance and perceived usefulness of robots to assist with ADLs, healthcare tasks, and evaluate acceptance of robotic healthcare assistance across different settings. A total of 499 adults (age range [years] 18-98, Mean = 38.7, SD = 22.7) responded to the survey. Significant differences were found among young, middle-aged, and older adults on perceived usefulness of robots for cleaning, escorting them around town, acting as companionship, delivering meals, assessing sadness and calling for help, providing medical advice, taking vital sign assessments, and assisting with personal care (p < 0.05). The majority of younger adults reported that they would like a robot to provide healthcare assistance in the hospital, compared to middle-aged and older adults (p < 0.001). Results of this study can guide the design of robots to assist adults of all ages with useful tasks.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Cites
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J., & Wouters, E. (2015) · Gerontology · doi:10.1159/000430949 · Cited by 19,803 · see citing works
Correlates of Physical Health of Informal Caregivers: A Meta-Analysis
Pinquart, M., & Sörensen, S. (2007) · The Journals of Gerontology Series B · doi:10.1093/geronb/62.2.p126 · Cited by 1,132 · see citing works
Acceptance of Healthcare Robots for the Older Population: Review and Future Directions
Broadbent, E., Stafford, R., & MacDonald, B. (2009) · International Journal of Social Robotics · doi:10.1007/s12369-009-0030-6 · Cited by 887 · see citing works
Rehabilitation Robotics: Performance-Based Progressive Robot-Assisted Therapy
Krebs, H. I., Palazzolo, J. J., Dipietro, L., Ferraro, M., Krol, J., Rannekleiv, K., Volpe, B. T., & Hogan, N. (2003) · Autonomous Robots · doi:10.1023/a:1024494031121 · Cited by 714 · see citing works
The State of Aging and Health in America 2007
(2007) · Aging Health · doi:10.2217/1745509x.3.2.139 · Cited by 649 · see citing works
Medical Robots: Current Systems and Research Directions
Beasley, R. A. (2012) · Journal of Robotics · doi:10.1155/2012/401613 · Cited by 312 · see citing works
The determinants of home healthcare robots adoption: An empirical investigation
Alaiad, A., & Zhou, L. (2014) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2014.07.003 · Cited by 306 · see citing works
Rabbitt, S. M., Kazdin, A. E., & Scassellati, B. M. (2014) · Clinical Psychology Review · doi:10.1016/j.cpr.2014.07.001 · Cited by 297 · see citing works
Use of social commitment robots in the care of elderly people with dementia: A literature review
Mordoch, E., Osterreicher, A., Guse, L., Roger, K., & Thompson, G. (2013) · Maturitas · doi:10.1016/j.maturitas.2012.10.015 · Cited by 270 · see citing works
Caregiving Strain and All-Cause Mortality: Evidence From the REGARDS Study
Perkins, M., Howard, V. J., Wadley, V. G., Crowe, M., Safford, M. M., Haley, W. E., Howard, G., & Roth, D. L. (2013) · The Journals of Gerontology Series B: Psychological Sciences and Social Sciences · doi:10.1093/geronb/gbs084 · Cited by 207 · see citing works
Older Adults’ Preferences for and Acceptance of Robot Assistance for Everyday Living Tasks
Smarr, C.-A., Prakash, A., Beer, J. M., Mitzner, T. L., Kemp, C. C., & Rogers, W. A. (2012) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1071181312561009 · Cited by 126 · see citing works
Jansen, J. E., Gleeson, J., & Cotton, S. (2014) · Clinical Psychology Review · doi:10.1016/j.cpr.2014.12.002 · Cited by 112 · see citing works
Seeher, K. M., Low, L., Reppermund, S., & Brodaty, H. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.01.012 · Cited by 103 · see citing works
The Urgency Of Preparing Primary Care Physicians To Care For Older People With Chronic Illnesses
Boult, C., Counsell, S. R., Leipzig, R. M., & Berenson, R. A. (2010) · Health Affairs · doi:10.1377/hlthaff.2010.0095 · Cited by 76 · see citing works
Ezer, N., Fisk, A. D., & Rogers, W. A. (2009) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120905300206 · Cited by 72 · see citing works
Robotics to Enable Older Adults to Remain Living at Home
Pearce, A. J., Adair, B., Miller, K., Ozanne, E., Said, C. M., Santamaria, N., & Morris, M. E. (2012) · Journal of Aging Research · doi:10.1155/2012/538169 · Cited by 68 · see citing works
Understanding the Potential for Robot Assistance for Older Adults in the Home Environment
Smarr, C.-A., Fausset, C. B., & Rogers, W. A. (2011) · SMARTech Repository (Georgia Institute of Technology) · Cited by 63 · see citing works
Use of pharmacy delivery robots in intensive care units
Summerfield, M. R., Seagull, F. J., Vaidya, N., et al. (2010) · American Journal of Health-System Pharmacy · doi:10.2146/ajhp100012 · Cited by 38 · see citing works
Population Aging: Implications for Nurse Practitioners
Leuven, K. A. V. (2012) · The Journal for Nurse Practitioners · doi:10.1016/j.nurpra.2012.02.006 · Cited by 9 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Thordardottir, B., Malmgren Fänge, A., Lethin, C., Rodriguez Gatta, D., & Chiatti, C. (2019) · BioMed Research International · doi:10.1155/2019/9196729 · Cited by 169 · see citing works
Backonja, U., Hall, A. K., Painter, I., Kneale, L., Lazar, A., Cakmak, M., Thompson, H. J., & Demiris, G. (2018) · Journal of Nursing Scholarship · doi:10.1111/jnu.12430 · Cited by 68 · see citing works
Self-citationAn Analysis of Usability Evaluation Practices and Contexts of Use in Wearable Robotics
Meyer, J. T., Gassert, R., & Lambercy, O. (2021) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-021-00963-8 · Cited by 58 · see citing works
- Authors
- Hall, A. K., Backonja, U., Painter, I., Cakmak, M., Sung, M., Lau, T., Thompson, H. J., & Demiris, G.
- Affiliations
- University of Washington (US)
- Science and Engineering Department, University of Washington, Seattle, Washington, USA
- Corresponding author
- Hall, Amanda K.
- Venue
- Assistive Technology
- Publisher
- Informa UK Limited
- Published
- 2017-11-29
- Volume
- 31
- Issue
- 3
- Pages
- 133-140
- ISSN
- 1040-0435 (ISSN-L)
- 1949-3614
- OpenAlex
- W2767588322
- Cited by
- 76
- References
- 19
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 8 · 2023: 12 · 2022: 17 · 2021: 9 · 2020: 5 · 2019: 6 · 2018: 1
- FWCI
- 4.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Assistive Technology (publishedVersion)
- PubMed (publishedVersion)
- University of Washington Tacoma Digital Commons (University of Washington Tacoma) (submittedVersion)
- Funders
- U.S. National Library of Medicine (T15LM007442)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Demography › Technology Use by Older Adults
- Physical Sciences › Engineering › Control and Systems Engineering › Robotics and Automated Systems
- Keywords
- robot acceptance, perceived usefulness, assistive robots, activities of daily living, older adults, generational differences, population aging, home care, hospital robotics, robot companionship, health workforce shortage
- MeSH terms
- Activities of Daily Living, Adolescent, Adult, Aged, Aged, 80 and over, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Robotics, Self-Help Devices, Young Adult
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 ›
Are you an author, or do you see a problem with this page? Request a review