Evaluating older adults' interaction with a mobile assistive robot

Mucchiani, Caio; Sharma, Suneet; Johnson, Megan; Sefcik, Justine S.; Vivio, Nicholas; Huang, Justin; Cacchione, Pamela Z.; Johnson, Michelle J.; Rai, Roshan; Canoso, Adrian; Lau, Tessa; Yim, Mark

doi:10.1109/iros.2017.8202246

Cited by 24 publications

(18 citation statements)

References 19 publications

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“…All participants were concerned about the safety of the robot. This is consistent with previous study findings [1], [17], [7], in which any device perceived by older adults, caregivers, or clinicians as unsafe would decrease the use of the technology. This original analysis informed the current SAR platform (Quori) hardware and software design.…”

Section: A Hardware and System Reviewsupporting

confidence: 93%

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Deployment of a Socially Assistive Robot for Assessment of COVID-19 Symptoms and Exposure at an Elder Care Setting

Mucchiani

Cacchione

Johnson

et al. 2021

2021 30th IEEE International Conference on Robot &Amp; Human Interactive Communication (RO-MAN)

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This work investigates the deployment of an affordable socially assistive robot (SAR) at an older adult day care setting for the screening of COVID-19 symptoms and exposure. Despite the focus on older adults, other stakeholders (clinicians and caregivers) were included in the study due to the need for daily COVID-19 screening. The investigation considered which aspects of human-robot-interaction (HRI) are relevant when designing social agents for patient screening. The implementation was based upon the current screening procedure adopted by the deployment facility, and translated into robot dialogues and gesturing motion. Post-interaction surveys with participants informed their preferences for the type of interaction and system usability. Observer surveys evaluated users' reaction, verbal and physical engagement. Results indicated general acceptance of the social agent and possible improvements to the current version of the robot to encourage a broader adoption by the stakeholders.

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Section: A Hardware and System Reviewsupporting

confidence: 93%

“…11). Initially, given the equivalent ratio of members (17) to employees (22), groups had their responses separately analyzed, and expressive differences in results (if any) reported as follows. Care was also taken to avoid the observer (or "Hawthorne") effect [45] during the interactions.…”

Section: State Machine Implementationmentioning

confidence: 99%

Deployment of a Socially Assistive Robot for Assessment of COVID-19 Symptoms and Exposure at an Elder Care Setting

Mucchiani

Cacchione

Johnson

et al. 2021

2021 30th IEEE International Conference on Robot &Amp; Human Interactive Communication (RO-MAN)

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“…A post-interaction questionnaire showed that they enjoyed playing the game with the robot and that they liked its socially interactive attributes. Mucchiani et al [51] developed design guidelines for an assistive robot based on query of clinicians, caregivers and older adults. In their study, authors found that hydration and walking encouragement were critical daily activities where human-robot interaction can be useful.…”

Section: Elderly-care Roboticsmentioning

confidence: 99%

ENRICHME: Perception and Interaction of an Assistive Robot for the Elderly at Home

Coşar

Fernández-Carmona

Agrigoroaie

et al. 2020

Int J of Soc Robotics

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Recent technological advances enabled modern robots to become part of our daily life. In particular, assistive robotics emerged as an exciting research topic that can provide solutions to improve the quality of life of elderly and vulnerable people. This paper introduces the robotic platform developed in the ENRICHME project, with particular focus on its innovative perception and interaction capabilities. The project's main goal is to enrich the day-today experience of elderly people at home with technologies that enable health monitoring, complementary care, and social support. The paper presents several modules created to provide cognitive stimulation services for elderly users with mild cognitive impairments. The ENRICHME robot was tested in three pilot sites around Europe (Poland, Greece, and UK) and proven to be an effective assistant for the elderly at home.

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“…Barring challenges such as cost and social acceptability, older adults today will likely be the first individuals to use assistive robots in some form. Current on-site human caregivers may potentially be a traditional alternative as researchers have shown relatively low-cost service robots to be able to help older adults at home to a decent effect (Mucchiani et al, 2017). However, this shift may be difficult to achieve in practice due to preconceived notions of complexity and an inevitable technological learning curve that may drive older people away from assistance via technology (Czaja et al, 2006;Demiris et al, 2004).…”

Section: Roboticsmentioning

confidence: 99%

Untitled

2020

THCI

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As the world's population increasingly ages, we need technological solutions such as robotics technology to assist older adults in their daily tasks. In this regard, we examine soft service robots' potential to help care for the elderly. To do so, we developed and tested the degree to which they would accept a soft service robot that catered to their functional needs in the home environment. We used embodied artificial to develop an in-house teleoperated human-sized soft service robot that performed object-retrieval tasks with a soft gripper. Using an extended technology acceptance model as a theoretical lens, we conducted a study with 79 older adults to examine the degree to which they would accept a soft service robot in the home environment. We found perceived ease of use, perceived usefulness, and subjective norms as significant predictors that positively influenced older adults' intention to adopt and use soft service robots. However, we also found that perceived anxiety and perceived likability did not significantly predict older adults' intention to adopt and use soft service robots. We discuss the implications, limitations, and future research directions that arise from these findings.

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Evaluating older adults' interaction with a mobile assistive robot

Cited by 24 publications

References 19 publications

Deployment of a Socially Assistive Robot for Assessment of COVID-19 Symptoms and Exposure at an Elder Care Setting

Deployment of a Socially Assistive Robot for Assessment of COVID-19 Symptoms and Exposure at an Elder Care Setting

ENRICHME: Perception and Interaction of an Assistive Robot for the Elderly at Home

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