Data Sheet 1_Conventions and research challenges in considering trust with socially assistive robots for older adults.pdf

Introduction<p>The global ageing population rise creates a growing need for assistance and Socially Assistive robots (SARs) have the potential to support independence for older adults. However, to allow older adults to benefit from robots that will assist in daily life, it is important to bett...

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主要作者: Aisha Gul (11902208) (author)
其他作者: Liam Turner (4440049) (author), Carolina Fuentes (14813668) (author)
出版: 2025
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author Aisha Gul (11902208)
author2 Liam Turner (4440049)
Carolina Fuentes (14813668)
author2_role author
author
author_facet Aisha Gul (11902208)
Liam Turner (4440049)
Carolina Fuentes (14813668)
author_role author
dc.creator.none.fl_str_mv Aisha Gul (11902208)
Liam Turner (4440049)
Carolina Fuentes (14813668)
dc.date.none.fl_str_mv 2025-11-26T09:00:22Z
dc.identifier.none.fl_str_mv 10.3389/frobt.2025.1631206.s001
dc.relation.none.fl_str_mv https://figshare.com/articles/dataset/Data_Sheet_1_Conventions_and_research_challenges_in_considering_trust_with_socially_assistive_robots_for_older_adults_pdf/30719612
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Artificial Intelligence and Image Processing
systematic literature review
socially assistive robots
trust
older adults
elderly
robots
dc.title.none.fl_str_mv Data Sheet 1_Conventions and research challenges in considering trust with socially assistive robots for older adults.pdf
dc.type.none.fl_str_mv Dataset
info:eu-repo/semantics/publishedVersion
dataset
description Introduction<p>The global ageing population rise creates a growing need for assistance and Socially Assistive robots (SARs) have the potential to support independence for older adults. However, to allow older adults to benefit from robots that will assist in daily life, it is important to better understand the role of trust in SARs.</p>Method<p>We present a Systematic Literature Review (SLR) aiming to identify the models, methods, and research settings used for measuring trust in SARs with older adults as population and analyse current factors in trust assessment.</p>Result<p>Our results reveal that previous studies were mostly conducted in lab settings and used subjective self-report measures like questionnaires, interviews, and surveys to measure the trust of older adults in SARs. Moreover, many of these studies focus on healthy older adults without age-related disabilities. We also examine different human-robot trust models that influence trust, and we discuss the lack of standardisation in the measurement of trust among older people in SARs.</p>Discussion<p>To address the standardisation gap, we developed a conceptual framework, Subjective Objective Trust Assessment HRI (SOTA-HRI), that incorporates subjective and objective measures to comprehensively evaluate trust in human-robot inter-actions. By combining these dimensions, our proposed framework provides a foundation for future research to design tailored interventions, enhance interaction quality, and ensure reliable trust assessment methods in this domain. Finally, we highlight key areas for future research, such as considering demographic sensitivity in trust-building strategies and further exploring contextual factors such as predictability and dependability that have not been thoroughly explored.</p>
eu_rights_str_mv openAccess
id Manara_1d4e6cfb17e9c06ee6d0d71eb8de09d2
identifier_str_mv 10.3389/frobt.2025.1631206.s001
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/30719612
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Data Sheet 1_Conventions and research challenges in considering trust with socially assistive robots for older adults.pdfAisha Gul (11902208)Liam Turner (4440049)Carolina Fuentes (14813668)Artificial Intelligence and Image Processingsystematic literature reviewsocially assistive robotstrustolder adultselderlyrobotsIntroduction<p>The global ageing population rise creates a growing need for assistance and Socially Assistive robots (SARs) have the potential to support independence for older adults. However, to allow older adults to benefit from robots that will assist in daily life, it is important to better understand the role of trust in SARs.</p>Method<p>We present a Systematic Literature Review (SLR) aiming to identify the models, methods, and research settings used for measuring trust in SARs with older adults as population and analyse current factors in trust assessment.</p>Result<p>Our results reveal that previous studies were mostly conducted in lab settings and used subjective self-report measures like questionnaires, interviews, and surveys to measure the trust of older adults in SARs. Moreover, many of these studies focus on healthy older adults without age-related disabilities. We also examine different human-robot trust models that influence trust, and we discuss the lack of standardisation in the measurement of trust among older people in SARs.</p>Discussion<p>To address the standardisation gap, we developed a conceptual framework, Subjective Objective Trust Assessment HRI (SOTA-HRI), that incorporates subjective and objective measures to comprehensively evaluate trust in human-robot inter-actions. By combining these dimensions, our proposed framework provides a foundation for future research to design tailored interventions, enhance interaction quality, and ensure reliable trust assessment methods in this domain. Finally, we highlight key areas for future research, such as considering demographic sensitivity in trust-building strategies and further exploring contextual factors such as predictability and dependability that have not been thoroughly explored.</p>2025-11-26T09:00:22ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.3389/frobt.2025.1631206.s001https://figshare.com/articles/dataset/Data_Sheet_1_Conventions_and_research_challenges_in_considering_trust_with_socially_assistive_robots_for_older_adults_pdf/30719612CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/307196122025-11-26T09:00:22Z
spellingShingle Data Sheet 1_Conventions and research challenges in considering trust with socially assistive robots for older adults.pdf
Aisha Gul (11902208)
Artificial Intelligence and Image Processing
systematic literature review
socially assistive robots
trust
older adults
elderly
robots
status_str publishedVersion
title Data Sheet 1_Conventions and research challenges in considering trust with socially assistive robots for older adults.pdf
title_full Data Sheet 1_Conventions and research challenges in considering trust with socially assistive robots for older adults.pdf
title_fullStr Data Sheet 1_Conventions and research challenges in considering trust with socially assistive robots for older adults.pdf
title_full_unstemmed Data Sheet 1_Conventions and research challenges in considering trust with socially assistive robots for older adults.pdf
title_short Data Sheet 1_Conventions and research challenges in considering trust with socially assistive robots for older adults.pdf
title_sort Data Sheet 1_Conventions and research challenges in considering trust with socially assistive robots for older adults.pdf
topic Artificial Intelligence and Image Processing
systematic literature review
socially assistive robots
trust
older adults
elderly
robots