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The Utilization of Robotic Pets in Dementia Care
Abstract
Background: Behavioral problems may affect individuals with dementia, increasing the cost and burden of care. Pet therapy has been known to be emotionally beneficial for many years. Robotic pets have been shown to have similar positive effects without the negative aspects of traditional pets. Robotic pet therapy offers an alternative to traditional pet therapy. Objective: The study rigorously assesses the effectiveness of the PARO robotic pet, an FDA approved biofeedback device, in treating dementia-related symptoms. Methods: A randomized block design with repeated measurements guided the study. Before and after measures included reliable, valid tools such as: RAID, CSDD, GDS, pulse rate, pulse oximetry, and GSR. Participants interacted with the PARO robotic pet, and the control group received standard activity programs. Five urban secure dementia units comprised the setting. Results: 61 patients, with 77% females, average 83.4 years in age, were randomized into control and treatment groups. Compared to the control group, RAID, CSDD, GSR, and pulse oximetry were increased in the treatment group, while pulse rate, pain medication, and psychoactive medication use were decreased. The changes in GSR, pulse oximetry, and pulse rate over time were plotted for both groups. The difference between groups was consistent throughout the 12-week study for pulse oximetry and pulse rate, while GSR had several weeks when changes were similar between groups. Conclusions: Treatment with the PARO robot decreased stress and anxiety in the treatment group and resulted in reductions in the use of psychoactive medications and pain medications in elderly clients with dementia.
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In dementia care, robotic pets were associated with reduced agitation, increased comfort, improved interaction, and greater engagement, although effects on depression, anxiety, quality of life, and long-term well-being were inconsistent.
“In dementia care, robotic pets were associated with reduced agitation, increased comfort, improved interaction, and greater engagement, although effects on depression, anxiety, quality of life, and long-term well-being were inconsistent [14,25,26,28,29,35,38,47].”
From The Effectiveness of Artificial Intelligence-Based Pet Therapy in Improving the Care of Patients: A Systematic Review (2026) · cites this paper as [25]
Broader outcomes such as reduced loneliness and higher caregiver satisfaction support the nonpharmacological value of robotic pets.
“broader outcomes, such as reduced loneliness and higher caregiver satisfaction, support their nonpharmacological value [14,25,28,35,36,47].”
From The Effectiveness of Artificial Intelligence-Based Pet Therapy in Improving the Care of Patients: A Systematic Review (2026) · cites this paper as [25]
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“For example, as many as 83% of individuals with dementia suffer with depression [2]; and as many as 77% suffer from anxiety [3].”
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Abdi, J., Al-Hindawi, A., Ng, T., & Vizcaychipi, M. P. (2018) · BMJ Open · doi:10.1136/bmjopen-2017-018815 · Cited by 583
Moyle, W., Jones, C. J., Murfield, J. E., Thalib, L., Beattie, E. R. A., Shum, D. K. H., O'Dwyer, S. T., Mervin, M. C., & Draper, B. M. (2017) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2017.03.018 · Cited by 284
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Yu, C., Sommerlad, A., Sakure, L., & Livingston, G. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101633 · Cited by 131
“Anxiety Three RCTs examined PARO ’ s immediate effects on anxiety, (Moyle et al., 2013a; Petersen et al., 2017; Pu et al., 2020) two with usual care and one compared to a reading group.”
BackgroundInfluentialConversational Affective Social Robots for Ageing and Dementia Support
Lima, M. R., Wairagkar, M., Gupta, M., Rodriguez y Baena, F., Barnaghi, P., Sharp, D. J., & Vaidyanathan, R. (2022) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2021.3115228 · Cited by 75
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Robotic Telemedicine for Mental Health: A Multimodal Approach to Improve Human-Robot Engagement
Lima, M. R., Wairagkar, M., Natarajan, N., Vaitheswaran, S., & Vaidyanathan, R. (2021) · Frontiers in Robotics and AI · doi:10.3389/frobt.2021.618866 · Cited by 64
Bradwell, H. L., Edwards, K., Shenton, D., Winnington, R., Thill, S., & Jones, R. B. (2021) · JMIR Rehabilitation and Assistive Technologies · doi:10.2196/30337 · Cited by 54
Villarreal-Zegarra, D., Yllescas-Panta, T., Malaquias-Obregon, S., Dámaso-Román, A., & Mayo-Puchoc, N. (2024) · Complementary Therapies in Medicine · doi:10.1016/j.ctim.2024.103023 · Cited by 29
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Trajbarič, T., Muršec, D., Svenšek, A., Štiglic, G., & Gosak, L. (2026) · Applied Sciences · doi:10.3390/app16104683
Metadata
- Authors
- Petersen, S., Houston, S., Qin, H., Tague, C., & Studley, J.
- Affiliations
- The University of Texas at Tyler
- Baylor Scott & White Health Care System Office of the CNO
- Baylor Scott & White Health Care System
- ACH Health Services
- Baylor Elder HouseCalls
- Venue
- Journal of Alzheimer’s Disease
- Publisher
- SAGE Publications
- Published
- 2016-10-01
- Volume
- 55
- Issue
- 2
- Pages
- 569-574
- ISSN
- 1387-2877
- 1875-8908
- PMC
- PMC5181659
- Cited by
- 283
- References
- 1
- Language
- en
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