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Developing assistive robots for people with mild cognitive impairment and mild dementia: a qualitative study with older adults and experts in aged care
Open accessAbstract
OBJECTIVES: This research is part of an international project to design and test a home-based healthcare robot to help older adults with mild cognitive impairment (MCI) or early dementia. The aim was to investigate the perceived usefulness of different daily-care activities for the robot, developed from previous research on needs. DESIGN: Qualitative descriptive analysis using semistructured interviews. Two studies were conducted. In the first study, participants watched videos of a prototype robot performing daily-care activities; in the second study, participants interacted with the robot itself. SETTING: Interviews were conducted at a university and a retirement village. PARTICIPANTS: In study 1, participants were nine experts in aged care and nine older adults living in an aged care facility. In study 2, participants were 10 experts in aged care. RESULTS: The themes that emerged included aspects of the robot's interactions, potential benefits, the appearance, actions and humanness of the robot, ways to improve its functionality and technical issues. Overall, the activities were perceived as useful, especially the reminders and safety checks, with possible benefits of companionship, reassurance and reduced caregiver burden. Suggestions included personalising the robot to each individual, simplifying the language and adding more activities. Technical issues still need to be fixed. CONCLUSION: This study adds to knowledge about healthcare robots for people with MCI by developing and testing a new robot with daily-care activities including safety checks. The robot was seen to be potentially useful but needs to be tested with people with MCI.
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“Four main themes were evident from the analysis: interactions, benefits, the robot, and improved functionality [40].”
From Participatory Design, Development, and Testing of Assistive Health Robots with Older Adults: An International Four-year Project (2022) · cites this paper as [40]
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“Five main themes were evident from the analysis: interactions, benefits, the robot, improved functionality, and technical difficulties [40].”
From Participatory Design, Development, and Testing of Assistive Health Robots with Older Adults: An International Four-year Project (2022) · cites this paper as [40]
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“This differs from previously developed technologies for older adults, which rely on developers and engineers imagining the health needs of older adults [20,57] and often begins by creating a product and then searching for a problem for it to solve [40].”
From Participatory Design, Development, and Testing of Assistive Health Robots with Older Adults: An International Four-year Project (2022) · cites this paper as [40]
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“The feedback from users indicated that robots hold promise for use by older adults, especially in providing reminders for medication, health and wellbeing, and delivering cognitively stimulating games [37,39,40,43].”
From Participatory Design, Development, and Testing of Assistive Health Robots with Older Adults: An International Four-year Project (2022) · cites this paper as [40]
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Cites
Lincoln, Y. S., Guba, E. G., & Pilotta, J. J. (1985) · International Journal of Intercultural Relations · doi:10.1016/0147-1767(85)90062-8 · Cited by 45,787
Standards for Reporting Qualitative Research: A Synthesis of Recommendations
O’Brien, B. C., Harris, I. B., Beckman, T. J., Reed, D. A., & Cook, D. A. (2014) · Academic Medicine · doi:10.1097/acm.0000000000000388 · Cited by 12,211
The Patient Health Questionnaire-2: Validity of a Two-Item Depression Screener
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2003) · Medical Care · doi:10.1097/01.mlr.0000093487.78664.3c · Cited by 6,359
Gauthier, S. G., Reisberg, ., Zaudig, M., Petersen, R. C., Ritchie, K. A., Broich, K., Belleville, S., Brodaty, H., Bennett, D. A., Chertkow, H. M., et al. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68542-5 · Cited by 4,094
Petersen, R. C. (2016) · CONTINUUM Lifelong Learning in Neurology · doi:10.1212/con.0000000000000313 · Cited by 1,082
Older adults' attitudes towards and perceptions of ‘smart home’ technologies: a pilot study
Demiris, G., Rantz, M., Aud, M. A., Marek, K. D., Tyrer, H. W., Skubic, M., & Hussam, A. A. (2004) · Medical Informatics and the Internet in Medicine · doi:10.1080/14639230410001684387 · Cited by 698
Jekel, K., Damian, M., Wattmo, C., Hausner, L., Bullock, R., Connelly, P. J., Dubois, B., Eriksdotter, M., Ewers, M., Graessel, E., et al. (2015) · Alzheimer's Research & Therapy · doi:10.1186/s13195-015-0099-0 · Cited by 640
Mental symptoms in Parkinson's disease are important contributors to caregiver distress
Aarsland, D., Larsen, J. P., Karlsen, K., Lim, N. G., & Tandberg, E. (1999) · International Journal of Geriatric Psychiatry · doi:10.1002/(sici)1099-1166(199910)14:10 · Cited by 484
The Role of Healthcare Robots for Older People at Home: A Review
Robinson, H., MacDonald, B., & Broadbent, E. (2014) · International Journal of Social Robotics · doi:10.1007/s12369-014-0242-2 · Cited by 459
Self-citationSocial categorization of social robots: Anthropomorphism as a function of robot group membership
Eyssel, F., & Kuchenbrandt, D. (2012) · British Journal of Social Psychology · doi:10.1111/j.2044-8309.2011.02082.x · Cited by 360
Pino, M., Boulay, M., Jouen, F., & Rigaud, A. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00141 · Cited by 352
The use of care robots in aged care: A systematic review of argument-based ethics literature
Vandemeulebroucke, T., de Casterlé, B. D., & Gastmans, C. (2017) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2017.08.014 · Cited by 262
Designing robots for the elderly: Appearance issue and beyond
Wu, Y.-H., Fassert, C., & Rigaud, A. (2011) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2011.02.003 · Cited by 257
The face scale: A brief, nonverbal method for assessing patient mood
Lorish, C. D., & Maisiak, R. (1986) · Arthritis & Rheumatism · doi:10.1002/art.1780290714 · Cited by 245
van der Roest, H. G., Meiland, F. J. M., Comijs, H. C., Derksen, E. W. C., Jansen, A. P. D., van Hout, H. P. J., Jonker, C., & Dröes, R. (2009) · International Psychogeriatrics · doi:10.1017/s1041610209990147 · Cited by 241
Functional Disability in Mild Cognitive Impairment: A Systematic Review and Meta-Analysis
Lindbergh, C. A., Dishman, R. K., & Miller, L. S. (2016) · Neuropsychology Review · doi:10.1007/s11065-016-9321-5 · Cited by 201
Involving people with dementia in the development of supportive IT applications: A systematic review
Span, M., Hettinga, M., Vernooij-Dassen, M. J. F. J., Eefsting, J. A., & Smits, C. H. M. (2013) · Ageing Research Reviews · doi:10.1016/j.arr.2013.01.002 · Cited by 165
Suitability of Healthcare Robots for a Dementia Unit and Suggested Improvements
Robinson, H., MacDonald, B. A., Kerse, N. M., & Broadbent, E. (2012) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2012.09.006 · Cited by 137
Self-citationRobinson, H., MacDonald, B. A., & Broadbent, E. (2013) · Australian Journal on Ageing · doi:10.1111/ajag.12099 · Cited by 132
Self-citationRealization and user evaluation of a companion robot for people with mild cognitive impairments
Schröter, C., Mueller, S., Volkhardt, M., Einhorn, E., Huijnen, C. A. G. J., van den Heuvel, H., van Berlo, A., Bley, A., & Gross, H.-M. (2013) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2013.6630717 · Cited by 124
NOMURA, T., SUZUKI, T., KANDA, T., HAN, J., SHIN, N., BURKE, J., & KATO, K. (2008) · International Journal of Humanoid Robotics · doi:10.1142/s0219843608001297 · Cited by 103
Morley, J. E. (2012) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2012.04.011 · Cited by 67
Design Challenges and Guidelines for Social Interaction Using Mobile Telepresence Robots
Tsui, K. M., & Yanco, H. A. (2013) · Reviews of Human Factors and Ergonomics · doi:10.1177/1557234x13502462 · Cited by 52
Saito, T., Shibata, T., Wada, K., & Tanie, K. (2004) · IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA) · doi:10.1109/cira.2003.1222074 · Cited by 49
Darragh, M., Ahn, H. S., MacDonald, B. A., Liang, A., Peri, K., Kerse, N. M., & Broadbent, E. (2017) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2017.08.019 · Cited by 48
Self-citationCreating “companions” for children: the ethics of designing esthetic features for robots
Pearson, Y., & Borenstein, J. (2012) · AI & Society · doi:10.1007/s00146-012-0431-1 · Cited by 34
Marksteiner, J., & Adelt, I. (2015) · Springer eBooks · doi:10.1007/978-3-642-36172-2_257 · Cited by 29
PARO’s Stress-Reduction Potential for Older Adults
McGlynn, S. A., Geiskkovitch, D. Y., Mitzner, T., & Rogers, W. (2016) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1541931213601411 · Cited by 13
How Different Types of Animal Robots Differently Influence Elder and Younger People's Mental States?
Nomura, T., & Hoshina, Y. (2017) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3029798.3038405 · Cited by 3
Research works printed but not linked: 1
- Meiland, 2012, Constructing ambient intelligence. AmI 2011. communications in computer and information science, 277, 146
Cited by
Sorted by citations
Artificial intelligence technologies and compassion in healthcare: A systematic scoping review
Morrow, E. M., Zidaru, T., Ross, F., Mason, C. L., Patel, K. D., Ream, M., & Stockley, R. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.971044 · Cited by 308
Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review
Buchanan, C., Howitt, M. L., Wilson, R., Booth, R. G., Risling, T., & Bamford, M. (2020) · JMIR Nursing · doi:10.2196/23939 · Cited by 238
Yu, C., Sommerlad, A., Sakure, L., & Livingston, G. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101633 · Cited by 131
“They were from Australia (Moyle et al., 2017b) (Pu et al., 2020), New Zealand (Liang et al., 2017), Norway (J ø ranson et al., 2015b) and Korea (Koh and Kang, 2018) and included 153 people with dementia.”
InfluentialTian, Y. J., Felber, N. A., Pageau, F., Schwab, D. R., & Wangmo, T. (2024) · BMC Geriatrics · doi:10.1186/s12877-024-04702-1 · Cited by 123
Robots for Elderly Care: Review, Multi-Criteria Optimization Model and Qualitative Case Study
Sawik, B., Tobis, S., Baum, E., Suwalska, A., Kropińska, S., Stachnik, K., Bernabeu, E. P., Cildoz, M., Agustín, A., & Wieczorowska–Tobis, K. (2023) · Healthcare · doi:10.3390/healthcare11091286 · Cited by 107
Metadata
- Authors
- Law, M., Sutherland, C., Ahn, H. S., MacDonald, B. A., Peri, K., Johanson, D. L., Vajsakovic, D.-S., Kerse, N., & Broadbent, E.
- Affiliations
- University of Auckland (NZ)
- Corresponding author
- Broadbent, Elizabeth
- ORCID
- Venue
- BMJ Open
- Publisher
- BMJ
- Published
- 2019-09
- Volume
- 9
- Issue
- 9
- Pages
- e031937
- ISSN
- 2044-6055 (ISSN-L)
- PMC
- PMC6773341
- OpenAlex
- W2976062348
- Cited by
- 109
- References
- 30
- Citations by year
- 2026: 10 · 2025: 22 · 2024: 13 · 2023: 10 · 2022: 26 · 2021: 22 · 2020: 6
- FWCI
- 16.96
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc
- Locations
- BMJ Open (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- ResearchSpace (University of Auckland) (submittedVersion, cc-by-nc)
- Funders
- Ministry of Trade, Industry & Energy (MOTIE, Korea) under Industrial Technology Innovation Program (No.10063300)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- assistive robots, healthcare robots, mild cognitive impairment, early-stage dementia, older adults, home care, perceived usefulness, robot appearance, reminders, safety inspection, caregiver burden, elderly care
- MeSH terms
- Activities of Daily Living, Aged, Attitude of Health Personnel, Dementia, Expert Testimony, Female, Geriatrics, Humans, Male, Robotics, Self-Help Devices, Technology Assessment, Biomedical, Reminder Systems, Caregivers, Needs Assessment, Qualitative Research, Cognitive Dysfunction
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