Changes in technology acceptance among older people with dementia: the role of social robot engagement

Chen, Ke; Lou, Vivian Weiqun; Tan, Kelvin Cheng‐kian; Wai, Man Yi; Chan, Lai Lok

doi:10.1016/j.ijmedinf.2020.104241

Cited by 67 publications

(65 citation statements)

References 49 publications

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“…Besides, seven studies defined the elderly with a chronological age of 55 and above, such as studies by [ 26 , 10 , 6 , 15 , 27 , 28 ]. Eleven studies targeted at elderly aged 60 and above, including studies by [ 12 , 29 , 30 , 31 , 32 , 33 , 18 , 8 , 19 , 19 , 20 , 11 ]. Out of 26 studies, only two studies [ 30 , 34 ], compare the elderly population with the younger generation in their studies.…”

Section: Categorization Of Literature On Elderly's Technology Adoptionmentioning

confidence: 99%

“…Quantitative studies predominate in the elderly's technology adoption literature. Three studies adopted a mixed-method approach [ 29 , 24 , 20 ]and only one study implemented both experimental and quantitative methods [ 32 ]. [ 32 ] assess the technology acceptance by using randomized control trials based on an ABAD withdrawal experimental design with a control group and lasting for a time frame of 32 weeks.…”

Section: Categorization Of Literature On Elderly's Technology Adoptionmentioning

confidence: 99%

“…Three studies adopted a mixed-method approach [ 29 , 24 , 20 ]and only one study implemented both experimental and quantitative methods [ 32 ]. [ 32 ] assess the technology acceptance by using randomized control trials based on an ABAD withdrawal experimental design with a control group and lasting for a time frame of 32 weeks. Then, questionnaire surveys were taken before and after the elderly were exposed to technology to measure belief and attitude towards the technology.…”

Section: Categorization Of Literature On Elderly's Technology Adoptionmentioning

confidence: 99%

“… TAM & UTAUT Cost tolerance Perceived usefulness, perceived ease of use, Attitude, self-satisfaction, Facilitating condition, Behavior intention to use [ 13 ] Social network websites (Facebook) Survey Questionnaires 1080 respondents aged 50 and above in United States, data analyzed via PLS-SEM. E-services Adoption model, Decomposed Theory of Planned Behavior (DTPB), Model of Adoption of Technology in Households Model of Online Social Networks (MOSN) Relative advantage, privacy risk, utilitarian outcomes, social outcome, technology, facilitating condition Hedonic outcomes, resources facilitating condition, requisite knowledge Behavior intention to use and continuous intention [ 32 ] Social robot Survey Questionnaires, ABAB withdrawal experimental design 103 respondents aged 60 and above in Hong Kong, data analyzed via MANOVA & t-test TAM, UTAUT, Senior Technology Acceptance Model (STAM) - - Acceptance of technology [ 26 ] Information and communication technologies interview 35 respondents aged 55 and above in Netherland, data analyzed via qualitative method (Atlas.ti) TAM, UTAUT, Socio Emotional Selectivity Theory, Selective Optimization with Compensation, Life-span Theory of Control - - ICT use [ 23 ] Mobile social network sites Survey Questionnaires 500 respondents aged 50 and above in Korea, data analyzed via PLS-SEM TAM, Innovation Diffusion Theory Authentic experience, site attachment - Intention to continuous use [ 31 ] Mobile health Survey Questionnaires 300 respondents aged 60 and above in Bangladesh, data analyzed via PLS-SEM UTAUT Performance expectancy, effort expectancy, resistance to change, technology anxiety, social influence Facilitating condition Behavior intention to use & use behavior [ 18 ] Online public service Survey Questionnaires 324 respondents aged 60 and above in United Kingdom and Japan, data analyzed via SEM (AMOS) Technology Readiness Index (TRI) Self-efficacy, aging satisfaction, soc...…”

Section: Antecedents Of Elderly's Technology Adoptionmentioning

confidence: 99%

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Elderly's intention to use technologies: A systematic literature review

Yap

Tan

Choon

2022

Heliyon

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The population aging and an increased life expectancy are widely recognized social changes. Technologies are believed to improve the elderly's daily lives and maintain their health efficiently. Despite the advantage of adopting technologies, the elderly are slower to adopt new technologies compared to younger adults. This paper presents a Systematic Literature Review (SLR) to identify the different antecedents prevailing in the literature on elderly technology adoption. The SLR classifies and analyzes 26 relevant articles on elderly's technology adoption. Our findings revealed that quantitative approach and cross-sectional studies predominate in this field, building fundamentally upon the technology-driven theories. We identify seven categories of antecedents influencing elderly's use of technology, namely, technology, psychological, social, personal, cost, behavior, and environment antecedents. A conceptual framework for elderly's technology adoption and recommendations were presented. Particular attention is given to the need for in depth study for the antecedents, development of new measurement scales and investigation on the effectiveness of the proposed benefits after technology adoption.

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Section: Categorization Of Literature On Elderly's Technology Adoptionmentioning

confidence: 99%

Section: Categorization Of Literature On Elderly's Technology Adoptionmentioning

confidence: 99%

Section: Categorization Of Literature On Elderly's Technology Adoptionmentioning

confidence: 99%

Section: Antecedents Of Elderly's Technology Adoptionmentioning

confidence: 99%

See 2 more Smart Citations

Elderly's intention to use technologies: A systematic literature review

Yap

Tan

Choon

2022

Heliyon

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“…The elderly benefit from communicating with robots [78]. Research with the Kabochan speaking robot [60,79] demonstrated an increase in residentrobot engagement over time in a group, but direct engagement was not assessed. Having a physical body and a system capable of handling a conversation flow in a robot is advantageous in promoting high engagement of the elderly [76].…”

Section: Literature Surveymentioning

confidence: 99%

Can a humanoid social robot stimulate the interactivity of cognitively impaired elderly? A thorough study based on computer vision methods

et al. 2021

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Social Assistive Robotics is increasingly being used in care settings to provide psychosocial support and interventions for the elderly with cognitive impairments. Most of these social robots have provided timely stimuli to the elderly at home and in care centres, including keeping them active and boosting their mood. However, previous investigations have registered shortcomings in these robots, particularly in their ability to satisfy an essential human need: the need for companionship. Reports show that the elderly tend to lose interests in these social robots after the initial excitement as the novelty wears out and the monotonous familiarity becomes all too familiar. This paper presents our research facilitating conversations between a social humanoid robot, Nadine, and cognitively impaired elderly at a nursing home. We analysed the effectiveness of human–humanoid interactions between our robot and 14 elderly over 29 sessions. We used both objective tools (based on computer vision methods) and subjective tools (based on observational scales) to evaluate the recorded videos. Our findings showed that our subjects engaged positively with Nadine, suggesting that their interaction with the robot could improve their well-being by compensating for some of their emotional, cognitive, and psychosocial deficiencies. We detected emotions associated with cognitively impaired elderly during these interactions. This study could help understand the expectations of the elderly and the current limitations of Social Assistive Robots. Our research is aligned with all the ethical recommendations by the NTU Institutional Review Board.

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