scholarly journals Investigating socially assistive systems from system design and evaluation: a systematic review

2021 ◽  
Author(s):  
Shi Qiu ◽  
Pengcheng An ◽  
Kai Kang ◽  
Jun Hu ◽  
Ting Han ◽  
...  
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Social Interactions ◽  
System Design ◽  
People With Disabilities ◽  
Assistive Technologies ◽  
Sensory Loss ◽  
System Evaluation ◽  
Special Focus ◽  
Assistive Systems

AbstractPurpose The development of assistive technologies that support people in social interactions has attracted increased attention in HCI. This paper presents a systematic review of studies of Socially Assistive Systems targeted at older adults and people with disabilities. The purpose is threefold: (1) Characterizing related assistive systems with a special focus on the system design, primarily including HCI technologies used and user-involvement approach taken; (2) Examining their ways of system evaluation; (3) Reflecting on insights for future design research. Methods A systematic literature search was conducted using the keywords “social interactions” and “assistive technologies” within the following databases: Scopus, Web of Science, ACM, Science Direct, PubMed, and IEEE Xplore. Results Sixty-five papers met the inclusion criteria and were further analyzed. Our results showed that there were 11 types of HCI technologies that supported social interactions for target users. The most common was cognitive and meaning understanding technologies, often applied with wearable devices for compensating users’ sensory loss; 33.85% of studies involved end-users and stakeholders in the design phase; Four types of evaluation methods were identified. The majority of studies adopted laboratory experiments to measure user-system interaction and system validation. Proxy users were used in system evaluation, especially in initial experiments; 42.46% of evaluations were conducted in field settings, primarily including the participants’ own homes and institutions. Conclusion We contribute an overview of Socially Assistive Systems that support social interactions for older adults and people with disabilities, as well as illustrate emerging technologies and research opportunities for future work.

scholarly journals Dual Sensory Loss in Older Adults: A Systematic Review

2015 ◽  
Vol 55 (5) ◽  
pp. 913-928 ◽  
Author(s):  
Chyrisse Heine ◽  
Colette Browning
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Sensory Loss ◽  
Dual Sensory Loss

scholarly journals A Review of Data Gathering Methods for Evaluating Socially Assistive Systems

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 82
Author(s):  
Shi Qiu ◽  
Pengcheng An ◽  
Kai Kang ◽  
Jun Hu ◽  
Ting Han ◽  
...  
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Special Needs ◽  
Visual Impairments ◽  
Data Gathering ◽  
Children With Autism ◽  
Social Needs ◽  
Observation Data ◽  
Adults And Children ◽  
Assistive Systems

Social interactions significantly impact the quality of life for people with special needs (e.g., older adults with dementia and children with autism). They may suffer loneliness and social isolation more often than people without disabilities. There is a growing demand for technologies to satisfy the social needs of such user groups. However, evaluating these systems can be challenging due to the extra difficulty of gathering data from people with special needs (e.g., communication barriers involving older adults with dementia and children with autism). Thus, in this systematic review, we focus on studying data gathering methods for evaluating socially assistive systems (SAS). Six academic databases (i.e., Scopus, Web of Science, ACM, Science Direct, PubMed, and IEEE Xplore) were searched, covering articles published from January 2000 to July 2021. A total of 65 articles met the inclusion criteria for this systematic review. The results showed that existing SASs most often targeted people with visual impairments, older adults, and children with autism. For instance, a common type of SASs aimed to help blind people perceive social signals (e.g., facial expressions). SASs were most commonly assessed with interviews, questionnaires, and observation data. Around half of the interview studies only involved target users, while the other half also included secondary users or stakeholders. Questionnaires were mostly used with older adults and people with visual impairments to measure their social interaction, emotional state, and system usability. A great majority of observational studies were carried out with users in special age groups, especially older adults and children with autism. We thereby contribute an overview of how different data gathering methods were used with various target users of SASs. Relevant insights are extracted to inform future development and research.

scholarly journals Walking with rollator: a systematic review of gait parameters in older persons

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Marion Mundt ◽  
Joao Pedro Batista ◽  
Bernd Markert ◽  
Cornelius Bollheimer ◽  
Thea Laurentius
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Older Persons ◽  
Assistive Technologies ◽  
Younger Adults ◽  
Temporal Parameters ◽  
Gait Parameters ◽  
Risk Of Falls ◽  
Gait Mechanics ◽  
Spatio Temporal

Abstract Background The aging population increasingly needs assistive technologies, such as rollators, to function and live less dependently. Rollators are designed to decrease the risk of falls by improving the gait mechanics of their users. However, data on the biomechanics of rollator assisted gait of older adults are limited, or mostly derived from experiments with younger adults. Methods and results This review summarises the data from 18 independent studies on the kinematic and kinetic gait parameters of assisted gait of older persons. All of these studies evaluated spatio-temporal parameters, but not joint angles or moments. Conclusion Due to the limited research on rollator supported gait in older adults, the number of parameters that could be analysed in this systematic review was restricted. Further research in the analysis of spatio-temporal parameters and a higher standardisation in clinical research will be necessary.

scholarly journals Trust with Autonomous Intelligence Systems to Promote Adoption in Assistive Technologies: A Literature Review

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 663-663
Author(s):  
Jared Carrillo ◽  
Maria Pena ◽  
Nonna Milyavskaya ◽  
Thomas Chan
Keyword(s):  
Older Adults ◽  
Literature Review ◽  
Autonomous Systems ◽  
Assistive Technologies ◽  
Machine Language ◽  
Human Errors ◽  
Grammar Correction ◽  
Actual Use ◽  
Assistive Systems ◽  
Smart Technologies

Abstract While advancements in machine learning are increasing rapidly, very little progress has been made in its mass adoption despite its benefits in assistive technologies for older adults. By examining how users interact with smart technologies, characteristics of trust can be identified and enhanced to increase adoption of the next generation of assistive systems. The current study conducted a literature review to understand better how trust with autonomous systems is formed and maintained. Twenty-two pertinent articles were identified in which three themes emerged. First, people tend to forgive human errors more than errors made by machines -- meaning mistrust is exaggerated when systems make mistakes. Second, the development of trust depends on how the system solves the tasks it is assigned, for instance if a user does not believe the system acted in an “ethical way,” distrust may form and the continuation of adoption is decreased. Lastly, trust depends on the situation and the risk/reward associated with using the system, for example the trust needed to board an autonomous plane differs from that for a simple grammar correction. Taken together, the black box ideology of autonomous systems may be an issue that prevents trust in them to be formed and maintained. Promising future directions are to create machine language translators that improve transparency of autonomous system behaviors (i.e., explainability). Even if assistive technologies are created to aid older adults -- the lack of focus on understanding the factors that foster trust may dampen their actual use.

scholarly journals A Systematic Review of Visual Impairment and Cognitive Decline Among Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 529-530
Author(s):  
Niranjani Nagarajan ◽  
Bonnielin Swenor ◽  
Lama Assi ◽  
Joshua Ehrlich ◽  
Heather Whitson
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Cognitive Function ◽  
Cognitive Decline ◽  
Visual Impairment ◽  
Visual Fields ◽  
Well Being ◽  
Vision Impairment ◽  
Sensory Loss ◽  
Functional Changes

Abstract Cognitive and visual impairments frequently coexist. With the aging of populations worldwide, the prevalence of these conditions are projected to increase substantially over time. A number of studies suggest that cognitive function and vision impairment are associated, and it is hypothesized to be due to a (1) common cause etiology, where both share common risk factors, and/or (2) causal association, where visual impairment causes cognitive decline. Sensory loss can lead to increased cognitive load, structural and functional changes in the brain, and/or decreased emotional, social, and physical well-being, all of which could potentially increase the risk of cognitive impairment. We conducted a systematic review of the existing literature, examining the association between cognitive and visual impairment among older adults. A total of 80 observational studies that reported a measure of association between visual and cognitive function and met the following criteria were included: (1) cross-sectional or longitudinal study design, (2) baseline mean age of participants ≥50 years, and (3) sample size of ≥100 participants. Of these 80 studies, 56 found a positive, significant association between visual function and cognitive decline. Forty-nine of the 56 studies used objective measures to test for visual acuity, contrast sensitivity, or visual fields. The sample included participants from 14 countries, including the US, UK, China, and Australia among others. Converging evidence of an association between vision impairment and subsequent cognitive decline suggests that visual impairment is a possible modifiable risk factor for cognitive decline and dementia. This hypothesis should be tested in prospective, controlled studies.

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