Social Robots for Older Adults with Dementia: A Narrative Review on Challenges &amp; Future Directions

Woods, Dan; Yuan, Fengpei; Jao, Ying-Ling; Zhao, Xiaopeng

doi:10.1007/978-3-030-90525-5_35

Cited by 12 publications

(5 citation statements)

References 52 publications

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“…This difference could be partly because this study had a larger sample size with broader perspectives that included nonhealthcare workers. Cultural differences may also have influenced the participants’ perspectives regarding robot use ( Woods et al, 2021 ). One review from Woods et al (2021) pointed out that cultural bias from certain regions may limit the acceptance of social robot use among older adults, and the development of social robots should consider these factors prior to implementation.…”

Section: Discussionmentioning

confidence: 99%

“…Cultural differences may also have influenced the participants’ perspectives regarding robot use ( Woods et al, 2021 ). One review from Woods et al (2021) pointed out that cultural bias from certain regions may limit the acceptance of social robot use among older adults, and the development of social robots should consider these factors prior to implementation. The study from Zuschnegg et al (2021) was conducted in Austria, whereas this study's participants were mostly from the United States, which may explain the different results.…”

Section: Discussionmentioning

confidence: 99%

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Use of a Humanoid Robot in Supporting Dementia Care: A Qualitative Analysis

et al. 2023

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Introduction Cognitive impairment significantly affects independence in persons with dementia, and consistent supervision is often needed. While interest has arisen in using humanoid robots, such as Pepper, to assist with daily caregiving activities, little is known about the perceptions of using Pepper to assist people with dementia. Objective This study aimed to explore the perceptions of nonhealthcare workers, care partners, and healthcare workers on the use of a Pepper robot in dementia care. Methods This was a secondary qualitative analysis. Data were collected from a pilot study conducted from November 2020 to March 2021 using an online survey. The survey consisted of quantitative and qualitative questions; this study only focused on the qualitative responses. The detailed procedures and the quantitative results were published elsewhere. Participants included nonhealthcare workers, care partners, and healthcare workers. Results A total of 194 participants responded to the open-ended question. Participants described potential benefits of Pepper including assisting with daily activities, monitoring safety and medication use, initiating reminders, and promoting activities and social interactions. Participants had concerns about privacy, cost, poor acceptance/trust, Pepper making mistakes, limitations in environmental navigation and responding to emergencies, misuse of Pepper, and Pepper replacing humans. Participants suggested that Pepper should be tailored to each individual's background, preferences, and functions and recommended improving the logistics of using Pepper, offering more emotional support and responses, and using a more natural appearance and voice. Conclusion Pepper may support dementia care; yet some concerns need to be addressed. Future research should consider incorporating these comments when designing robots for dementia care.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Use of a Humanoid Robot in Supporting Dementia Care: A Qualitative Analysis

et al. 2023

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“…5,6 Especially in senior homes, many PwDs do not receive meaningful daily interactions. 7 Social robots, an emerging common assistive technology to support dementia care, [8][9][10] could play the role of conversational companion engaging in conversations with PwDs. For example, a very recent late-breaking report 11 proposed proactive robotic listeners to encourage more responses from PwDs.…”

Section: Introductionmentioning

confidence: 99%

A simulated experiment to explore robotic dialogue strategies for people with dementia

Yuan

Sadovnik

Zhang

et al. 2022

Journal of Rehabilitation and Assistive Technologies Engineerin

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Introduction Persons with dementia (PwDs) often show symptoms of repetitive questioning, which brings great burdens on caregivers. Conversational robots hold promise of helping cope with PwDs’ repetitive behavior. This paper develops an adaptive conversation strategy to answer PwDs’ repetitive questions, follow up with new questions to distract PwDs from repetitive behavior, and stimulate their conversation and cognition. Methods We propose a general reinforcement learning model to interact with PwDs with repetitive questioning. Q-learning is exploited to learn adaptive conversation strategy (from the perspectives of rate and difficulty level of follow-up questions) for four simulated PwDs. A demonstration is presented using a humanoid robot. Results The designed Q-learning model performs better than random action selection model. The RL-based conversation strategy is adaptive to PwDs with different cognitive capabilities and engagement levels. In the demonstration, the robot can answer a user’s repetitive questions and further come up with a follow-up question to engage the user in continuous conversations. Conclusions The designed Q-learning model demonstrates noteworthy effectiveness in adaptive action selection. This may provide some insights towards developing conversational social robots to cope with repetitive questioning by PwDs and increase their quality of life.

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“…Social robotics is a rapidly growing technology with the potential to address some of our modern societal challenges [1]. The importance of social robots in today's society is evident from their ability to provide personalized human-like services in elderly care [2,3], general healthcare [4], hospitalized children care [5], mental healthcare [6], dementia care [7][8][9], education [10][11][12][13], language studies [14][15][16][17], entertainment [18], retail services [19], tourism [20], hospitality [21,22], public spaces [23][24][25], and during pandemics like COVID-19 [26,27] or in other possible cases. The social robotics market was valued at USD 1.98 billion in 2020 and will reach USD 11.24 billion in 2026 [28], with healthcare being the main driver.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Review on Social Robots in Public Spaces: Threat Landscape and Attack Surface

et al. 2022

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There is a growing interest in using social robots in public spaces for indoor and outdoor applications. The threat landscape is an important research area being investigated and debated by various stakeholders. Objectives: This study aims to identify and synthesize empirical research on the complete threat landscape of social robots in public spaces. Specifically, this paper identifies the potential threat actors, their motives for attacks, vulnerabilities, attack vectors, potential impacts of attacks, possible attack scenarios, and mitigations to these threats. Methods: This systematic literature review follows the guidelines by Kitchenham and Charters. The search was conducted in five digital databases, and 1469 studies were retrieved. This study analyzed 21 studies that satisfied the selection criteria. Results: Main findings reveal four threat categories: cybersecurity, social, physical, and public space. Conclusion: This study completely grasped the complexity of the transdisciplinary problem of social robot security and privacy while accommodating the diversity of stakeholders’ perspectives. Findings give researchers and other stakeholders a comprehensive view by highlighting current developments and new research directions in this field. This study also proposed a taxonomy for threat actors and the threat landscape of social robots in public spaces.

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Social Robots for Older Adults with Dementia: A Narrative Review on Challenges & Future Directions

Cited by 12 publications

References 52 publications

Use of a Humanoid Robot in Supporting Dementia Care: A Qualitative Analysis

Use of a Humanoid Robot in Supporting Dementia Care: A Qualitative Analysis

A simulated experiment to explore robotic dialogue strategies for people with dementia

A Systematic Review on Social Robots in Public Spaces: Threat Landscape and Attack Surface

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