Social Robots and Seniors: A Comparative Study on the Influence of Dynamic Social Features on Human–Robot Interaction

Moro, Christina; Lin, Shayne; Nejat, Goldie; Mihailidis, Alex

doi:10.1007/s12369-018-0488-1

Cited by 48 publications

(28 citation statements)

References 62 publications

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“…Factors that influence the acceptability of social robots include having humanlike facial features, being an embodied presence and having social capabilities [ 17 , 53 , 54 ] being able to deliver specific personalised activities that meet the needs of the individual end user [ 17 , 54 ] and having reliable technology [ 55 ]. The perceptions of significant others, such as relatives or carers are also important in determining the acceptability of social robots [ 54 ].…”

Section: Introductionmentioning

confidence: 99%

The Perceptions of People with Dementia and Key Stakeholders Regarding the Use and Impact of the Social Robot MARIO

Casey

Barrett

Kovačič

et al. 2020

IJERPH

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People with dementia often experience loneliness and social isolation. This can result in increased cognitive decline which, in turn, has a negative impact on quality of life. This paper explores the use of the social robot, MARIO, with older people living with dementia as a way of addressing these issues. A descriptive qualitative study was conducted to explore the perceptions and experiences of the use and impact of MARIO. The research took place in the UK, Italy and Ireland. Semi-structured interviews were held in each location with people with dementia (n = 38), relatives/carers (n = 28), formal carers (n = 28) and managers (n = 13). The data was analyzed using qualitative content analysis. The findings revealed that despite challenges in relation to voice recognition and the practicalities of conducting research involving robots in real-life settings, most participants were positive about MARIO. Through the robot’s user-led design and personalized applications, MARIO provided a point of interest, social activities, and cognitive engagement increased. However, some formal carers and managers voiced concern that robots might replace care staff.

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Section: Introductionmentioning

confidence: 99%

The Perceptions of People with Dementia and Key Stakeholders Regarding the Use and Impact of the Social Robot MARIO

Casey

Barrett

Kovačič

et al. 2020

IJERPH

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“…The human posture estimation technique was used to capture the three-dimensional movement data of the patient's limbs during rehabilitation training, to control the virtual agents in the virtual environment, to achieve human-computer interaction, and to provide digital quantitative measurement data for rehabilitation evaluation [ 10 ]. A lot of applied research has been carried out in China and abroad on the application of contextual interactive virtual environment technology and human posture estimation technology to rehabilitation robots, and several types of contextual interactive systems for rehabilitation robots have been developed that combine these two technologies [ 11 ]. The Brain and Spinal Injury Centre (BASIC) in the UK has done a lot of work on virtual scenario-based rehabilitation systems [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Home Interactive Elderly Care Two-Way Video Healthcare System Design

Feng²

2021

Journal of Healthcare Engineering

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This paper explores and analyses the interactive home geriatric two-way video health care system, investigates and analyses the daily lives and behaviours of the elderly in their homes through research interviews, obtains the main needs of the elderly population in their lives, as well as their cognitive and behavioural characteristics, and proposes four service function modules for the elderly in their homes; then, combining service design and interaction design theory, we propose the following four service modules for the elderly in their homes. Given the design methods and processes of the intelligent service system for the elderly at home as well as the interface interaction design principles on the three levels of vision, interaction, and reflection, the intelligent service system platform for the elderly at home was constructed, the interaction design of the mobile device terminal software of the service system platform practiced in the form of APP, and the eye-movement experiment method and fuzzy hierarchical analysis were applied to the design of the intelligent service system for the elderly at home from qualitative and quantitative perspectives. The thesis study provides a new way of thinking to design and provide intelligent service system products for the elderly living at home, which is an important contribution to society’s care for the elderly and their quality of life. The key features of the human skeleton are extracted from the model of abnormal leaning and falling behaviour of the elderly, and the SVM machine learning method is used to classify and identify the data, which enables the identification of the abnormal behaviour of the elderly at home with an accuracy of 97%.

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“…The field of SAR has taken these dialogue systems one step further by exploring the use of a physical robot to deliver conversation to the user. Moro et al explored humanlike robots as companions to seniors and found the more human in appearance the robot was, the more engagement and positive effect it had [14]. The ability to communicate with humans in a socially appropriate manner enables these robots to be sources of medical treatment in addition to just social companions.…”

Section: Related Workmentioning

confidence: 99%

Delivering Cognitive Behavioral Therapy Using A Conversational Social Robot

Dino

Zandie

Abdollahi

et al. 2019

2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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Social robots are becoming an integrated part of our daily life due to their ability to provide companionship and entertainment. A subfield of robotics, Socially Assistive Robotics (SAR), is particularly suitable for expanding these benefits into the healthcare setting because of its unique ability to provide cognitive, social, and emotional support. This paper presents our recent research on developing SAR by evaluating the ability of a life-like conversational social robot, called Ryan, to administer internet-delivered cognitive behavioral therapy (iCBT) to older adults with depression. For Ryan to administer the therapy, we developed a dialogue-management system, called Program-R. Using an accredited CBT manual for the treatment of depression, we created seven hour-long iCBT dialogues and integrated them into Program-R using Artificial Intelligence Markup Language (AIML). To assess the effectiveness of Robot-based iCBT and users' likability of our approach, we conducted an HRI study with a cohort of elderly people with mild-to-moderate depression over a period of four weeks. Quantitative analyses of participant's spoken responses (e.g. word count and sentiment analysis), face-scale mood scores, and exit surveys, strongly support the notion robot-based iCBT is a viable alternative to traditional human-delivered therapy.

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Social Robots and Seniors: A Comparative Study on the Influence of Dynamic Social Features on Human–Robot Interaction

Cited by 48 publications

References 62 publications

The Perceptions of People with Dementia and Key Stakeholders Regarding the Use and Impact of the Social Robot MARIO

The Perceptions of People with Dementia and Key Stakeholders Regarding the Use and Impact of the Social Robot MARIO

Home Interactive Elderly Care Two-Way Video Healthcare System Design

Delivering Cognitive Behavioral Therapy Using A Conversational Social Robot

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