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 Human Factors Linked with Initial and Continuous Trust in Autonomous Systems: A Literature Review

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 660-661
Author(s):  
Maria Pena ◽  
Jared Carrillo ◽  
Nonna Milyavskaya ◽  
Thomas Chan
Keyword(s):  
Older Adults ◽  
Literature Review ◽  
Human Factors ◽  
Autonomous Systems ◽  
Ease Of Use ◽  
Age In Place ◽  
Technological Characteristics ◽  
Intended Purpose ◽  
Smart Technologies ◽  
Technological World

Abstract Many autonomous systems are being developed to assist older adults to age in place. However, there is little research related to the human factors associated with why older adults may initially and continuously trust these autonomous systems. More research in this area on older adults and trust in autonomy is needed to facilitate the technologies better everyday use. The current study conducted a literature review on the prevalent human factors that enable people to trust their interactions with smart technologies (e.g., artificial intelligence, navigational structures). Articles were collected from various disciplines on concepts such as trust in autonomy, human-computer interactions and teamwork. Thematic analysis revealed two convergent areas that were associated with initial and continuous trust: human and technological characteristics. Human characteristics are defined by a person’s ability to understand and use autonomous systems. Generally, people with higher competency and abilities with autonomous systems demonstrated the ease of use to carry out desired actions with smart technology. Technological characteristics are defined by the system’s performance, explainability, and its intended purpose between trust. Essentially, people were less critical of autonomous systems that were perceived to be useful, transparent, and predictable. Overall, the autonomous system's ability to perform its intended purpose and the users knowledge and technical qualifications dominate the relationship between initial and continuous trust with autonomous systems. These are the prevalent factors that need to be considered for the creation of trusted autonomous technologies for older adults to help them age in the approaching more advanced technological world.

scholarly journals A conceptual framework concerning education as factor of elders’ acceptance for smart assistive technologies

2017 ◽  
Vol 2 (1) ◽  
pp. 275-283
Author(s):  
Dorin Popescu ◽  
Sorin Popescu ◽  
Stefan Bodi
Keyword(s):  
Older Adults ◽  
Literature Review ◽  
Conceptual Framework ◽  
Digital Technologies ◽  
Two Dimensions ◽  
Assistive Technologies ◽  
Unified Theory ◽  
Use Of Technology ◽  
Readiness To Adopt ◽  
Smart Technologies

Abstract The aging of the world's population, raises issues of assisting elderly in conditions of sustainable spending. In this respect, smart technologies bring both an opportunity, providing solutions to assist elders’ life and a barrier coming from the lower acceptance of older adults for digital technologies. The paper proposes a research focused on education and its influence on older adults’ readiness to adopt new, digital technologies. As reference the two versions of the Unified Theory of Acceptance and Use of Technology (UTAUT and UTAUT2) were used. The research is based on a systematic literature review aimed to draft a conceptual framework placed on two dimensions: the first one tries to establish "if and how the initial education is influencing the elders’ acceptance of assistive technologies" and, the second targeting "how this initial education is correlated and/or imbedded in the elements of the UTAUT models".

scholarly journals A Qualitative Metasynthesis of Reasons for the Use or Nonuse of Assistive Technologies in the Aging Population

GeroPsych ◽  
2019 ◽  
Vol 32 (2) ◽  
pp. 79-92 ◽  
Author(s):  
Afsaneh Abrilahij ◽  
Thomas Boll
Keyword(s):  
Literature Review ◽  
Older People ◽  
Theoretical Approach ◽  
Smart Home ◽  
Assistive Technologies ◽  
Privacy Concerns ◽  
Developmental Counseling ◽  
Actual Use ◽  
Home Technology ◽  
Smart Home Technology

Abstract. Models of the use of assistive technologies (ATs) have only moderate value for predicting older people’s actual use of ATs. To find further predictors, we performed a systematic literature review and – applying an action-theoretical approach – a metasynthesis of seven qualitative studies about the reasons older people use or fail to use ATs. We found 25 reasons referring to user’s beliefs and desires (e.g., related to demand, act of using ATs, its consequences), 18 of which were not contained in existing AT use models. Some reasons generalized across ATs (e.g., perceived unreliability), whereas others (e.g., privacy concerns, desire to avoid burden to others) appeared specific to telealarm or smart-home technology. We discuss findings with respect to improving AT use models and developmental counseling.

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 Older Adults and Technology Use: A Systematic Literature Review

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 823-823
Author(s):  
Hyung Wook Choi ◽  
Rose Ann DiMaria-Ghalili ◽  
Mat Kelly ◽  
Alexander Poole ◽  
Erjia Yan ◽  
...  
Keyword(s):  
Older Adults ◽  
Technology Use ◽  
Age Groups ◽  
Well Being ◽  
Sample Population ◽  
Age Cohorts ◽  
Fine Grained ◽  
Nuanced Understanding ◽  
Smart Technologies ◽  
Age Range

Abstract Researchers are increasingly interested in leveraging technology to support the physical and mental well-being of older adults. We systematically reviewed previous scholars’ criteria for sampling older adult populations, focusing on age cohorts (namely adults over 65) and their use of internet and smart technologies. We iteratively developed keyword combinations that represent older adults and technology from the retrieved literature. Between 2011 and 2020, 70 systematic reviews were identified, 26 of which met our inclusion criteria for full review. Most important, not one of the 26 papers used a sample population classification more fine-grained than “65 and older.” A knowledge gap thus exists; researchers lack a nuanced understanding of differences within this extraordinarily broad age-range. Demographics that we propose to analyze empirically include not only finer measures of age (e.g., 65-70 or 71-75, as opposed to “65 and older”), but also those age groups’ attitudes toward and capacity for technology use.

scholarly journals Digital Storytelling in Older Adults With Typical Aging, and With Mild Cognitive Impairment or Dementia: A Systematic Literature Review

2021 ◽  
pp. 073346482110154
Author(s):  
Adriana Maria Rios Rincon ◽  
Antonio Miguel Cruz ◽  
Christine Daum ◽  
Noelannah Neubauer ◽  
Aidan Comeau ◽  
...  
Keyword(s):  
Older Adults ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Digital Storytelling ◽  
Level Of Evidence ◽  
Form Of Life ◽  
Self Confidence ◽  
Care Partners

The rates of dementia are on the rise as populations age. Storytelling is commonly used in therapies for persons living with dementia and can be in the form of life review, and reminiscence therapy. A systematic literature review was conducted to examine the range and extent of the use of digital technologies for facilitating storytelling in older adults and their care partners, and to identify the processes and methods, the technologies used and their readiness levels, the evidence, and the associated outcomes. Eight electronic databases were searched: Medline, EMBASE, PsycINFO, CINAHL, Abstracts in Social Gerontology, ERIC, Web of Science, and Scopus. We included 34 studies. Mild cognitive impairment or dementia represented over half of medical conditions reported in the studies. Overall, our findings indicate that the most common use of digital storytelling was to support older adults’ memory, reminiscence, identity, and self-confidence; however, the level of evidence of its effectiveness was low.

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