Practical evaluation of service robots for support and routine tasks in an elderly care facility

Jacobs, Theo; Graf, Birgit

doi:10.1109/arso.2012.6213397

Cited by 22 publications

(11 citation statements)

References 3 publications

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“…In the field of residential long-term care, robots are by far the most researched technology category, followed by sensors (n = 16) and ICT (n = 10). Social robots [39], therapeutic robots [40] and also robotic auxiliary systems such as robotic transport assistants [41] can be highlighted as common applications. Studies situated in formal care at home mostly focus on ICT n = 22).…”

Section: Target Settings and Technologiesmentioning

confidence: 99%

Digital technology and nursing care: a scoping review on acceptance, effectiveness and efficiency studies of informal and formal care technologies

Krick

Hüter

Domhoff

et al. 2019

BMC Health Serv Res

180

127

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Background: The existence, usage and benefits of digital technologies in nursing care are relevant topics in the light of the current discussion on technologies as possible solutions to problems such as the shortage of skilled workers and the increasing demand for long-term care. A lack of good empirical overviews of existing technologies in the present literature prompted us to conduct this review. Its purpose was to map the field of digital technologies for informal and formal care that have already been explored in terms of acceptance, effectiveness and efficiency (AEE), and to show the scope of the used methods, target settings, target groups and fields of support. Methods: A systematic literature search was conducted using Medline, Scopus, CINAHL, Cochrane Library, ACM Digital Library, IEEE Xplore, the Collection of Computer Science Bibliographies, GeroLit and CareLit. In addition, project websites were manually screened for relevant publications. Results: Seven hundred fifteen papers were included in the review. Effectiveness studies have been most frequently performed for ICT, robots and sensors. Acceptance studies often focussed on ICT, robots and EHR/EMR. Efficiency studies were generally rare. Many studies were found to have a low level of evidence. Experimental designs with small numbers and without control groups were the most common methods used to evaluate acceptance and effectiveness. Study designs with high evidence levels were most commonly found for ICT, robots and e-learning. Technologies evaluated for informal caregivers and children or indicated for formal care at home or in cross-sectoral care were rare. Conclusion: We recommend producing high-quality evaluations on existing digital technologies for AEE in real-life settings rather than systematic reviews with low-quality studies. More focus should be placed on research into efficiency. Future research should be devoted to a closer examination of the applied AEE evaluation methods. Policymakers should provide funding to enable large-scale, long-term evaluations of technologies in the practice of care, filling the research gaps for technologies, target settings and target groups identified in this review.

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Section: Target Settings and Technologiesmentioning

confidence: 99%

Digital technology and nursing care: a scoping review on acceptance, effectiveness and efficiency studies of informal and formal care technologies

Krick

Hüter

Domhoff

et al. 2019

BMC Health Serv Res

180

127

View full text Add to dashboard Cite

show abstract

“…Specifically, robots could be more effective if robot designers understand the tasks for which older adults would benefit from technology support and the nature of the context in which these technologies would be used, in terms of the physical, structural environment and the users themselves. A small number of studies have explored design issues for assistive robots for older adults [7, 9-17]. However, currently large-scale survey data reflecting these characteristics and needs are not integrated in the literature making it challenging to determine what accommodations for older adults should be made as a function of living environment.…”

Section: Introductionmentioning

confidence: 99%

Identifying the Potential for Robotics to Assist Older Adults in Different Living Environments

Mitzner

Chen

Kemp

et al. 2013

Int J of Soc Robotics

128

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As the older adult population grows and becomes more diverse, so will their needs and preferences for living environments. Many adults over 65 years of age require some assistance [1, 2]; yet it is important for their feelings of well-being that the assistance not restrict their autonomy [3]. Not only is autonomy correlated with quality of life [4], autonomy enhancement may improve functionality [2, 5]. The goal of this paper is to provide guidance for the development of technology to enhance autonomy and quality of life for older adults. We explore the potential for robotics to meet these needs. We evaluated older adults' diverse living situations and the predictors of residential moves to higher levels of care in the United States. We also examined older adults' needs for assistance with activities of daily living (ADLs), instrumental activities of daily living (IADLs), and medical conditions when living independently or in a long-term care residence. By providing support for older adults, mobile manipulator robots may reduce need-driven, undesired moves from residences with lower levels of care (i.e., private homes, assisted living) to those with higher levels of care (i.e., skilled nursing).

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“…On the other hand, there are socially assistive robots that directly interact with humans ( 131 ). This category includes service robots that can perform tasks, like handing an object and also washing or feeding ( 132 , 133 ), and companion-like robots ( 111 , 112 ). Both kinds of socially assistive robots have physical contact with humans; therefore, their touch can be expected to have psychological effects, and could be designed to act calming.…”

Section: Current Technical Advances In Roboticsmentioning

confidence: 99%

Calming Effects of Touch in Human, Animal, and Robotic Interaction—Scientific State-of-the-Art and Technical Advances

et al. 2020

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Small everyday gestures such as a tap on the shoulder can affect the way humans feel and act. Touch can have a calming effect and alter the way stress is handled, thereby promoting mental and physical health. Due to current technical advances and the growing role of intelligent robots in households and healthcare, recent research also addressed the potential of robotic touch for stress reduction. In addition, touch by non-human agents such as animals or inanimate objects may have a calming effect. This conceptual article will review a selection of the most relevant studies reporting the physiological, hormonal, neural, and subjective effects of touch on stress, arousal, and negative affect. Robotic systems capable of non-social touch will be assessed together with control strategies and sensor technologies. Parallels and differences of human-to-human touch and human-to-non-human touch will be discussed. We propose that, under appropriate conditions, touch can act as (social) signal for safety, even when the interaction partner is an animal or a machine. We will also outline potential directions for future research and clinical relevance. Thereby, this review can provide a foundation for further investigations into the beneficial contribution of touch by different agents to regulate negative affect and arousal in humans.

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Practical evaluation of service robots for support and routine tasks in an elderly care facility

Cited by 22 publications

References 3 publications

Digital technology and nursing care: a scoping review on acceptance, effectiveness and efficiency studies of informal and formal care technologies

Digital technology and nursing care: a scoping review on acceptance, effectiveness and efficiency studies of informal and formal care technologies

Identifying the Potential for Robotics to Assist Older Adults in Different Living Environments

Calming Effects of Touch in Human, Animal, and Robotic Interaction—Scientific State-of-the-Art and Technical Advances

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