There's No "I" in TEAMMAIT: Impacts of Domain and Expertise on Trust in AI Teammates for Mental Health Work DOI
Nathaniel Swinger, Cynthia M. Baseman, Myeonghan Ryu

et al.

Proceedings of the ACM on Human-Computer Interaction, Journal Year: 2025, Volume and Issue: 9(2), P. 1 - 36

Published: May 2, 2025

The mental health crisis in the United States spotlights need for more scalable training workers. While present-day AI systems have sparked hope addressing this problem, we must not be too quick to incorporate or solely focus on technological advancements. We ask empirical questions about how ethically collaborate with and integrate autonomous into clinical workplace. For these Human-Autonomy Teams (HATs), poised make leap domain, special consideration around construct of trust is order. A reflexive look toward multidisciplinary nature such HAT projects illuminates a deeper dive varied stakeholder considerations ethics trust. In paper, investigate impact domain---and ranges expertise within domains---on ethics- trust-related HATs health. outline our engagement 23 participants two speculative activities: design fiction factorial survey vignettes. Grounded by video storyboard prototype, AI- Psychotherapy-domain experts novices alike imagined TEAMMAIT, prospective system psychotherapy training. From inductive analysis emerged 10 themes surrounding ethics, trust, collaboration. Three can seen as substantial barriers collaboration, where they would work an teammate that didn't meet ethical standards. Another five interrelated, context-dependent, variable factors collaboration teammate. final represent explicit role practices. conclude evaluating findings through lens Mayer et al.'s Integrative Model Organizational Trust discuss risks adapt models ability-, benevolence-, integrity-based These updates motivate implications integration work.

Language: Английский

Perception towards the Acceptance of Digital Health Services among the People of Bangladesh DOI Open Access
K. M. Salah Uddin, Mohammad Rakibul Islam Bhuiyan,

Marufa Hamid

et al.

WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS, Journal Year: 2024, Volume and Issue: 21, P. 1557 - 1570

Published: July 12, 2024

The research intends to determine the influential factors of individual willingness use digital health services in Bangladesh. quantitative method was conducted obtain purposes this study. To collect primary data, a questionnaire link and direct interaction with purposive sample 300 people were used. for study made up who services. discovered that six factors, totaling 24 items, influence Bangladeshis’ acceptance reliability test variables 6 determinants is reliable because Cronbach’s alpha 0.569, which greater than standard 0.5. This positive correlation between social cultural, technological, economic, convenience, security, perceived utility using two-tailed significance level 0.01 or less. found economic advantages technology literacy understanding greatly care acceptability, statistically significant outcomes other determinant factors. Policymakers, healthcare practitioners, developers can data customize their plans solutions Bangladeshi requirements. Promoting perceptions removing barriers will increase service Bangladesh, increasing accessibility.

Language: Английский

Citations

7
CounselAR: Exploring How AR Filters Facilitate Online Psychotherapy In the Wild With South Korean Young Adults DOI
Hayoun Noh, Salman Muin Kayser Chishti, Hyunah Jo

et al.

Published: April 24, 2025

Language: Английский

Citations

0
There's No "I" in TEAMMAIT: Impacts of Domain and Expertise on Trust in AI Teammates for Mental Health Work DOI
Nathaniel Swinger, Cynthia M. Baseman, Myeonghan Ryu

et al.

Proceedings of the ACM on Human-Computer Interaction, Journal Year: 2025, Volume and Issue: 9(2), P. 1 - 36

Published: May 2, 2025

The mental health crisis in the United States spotlights need for more scalable training workers. While present-day AI systems have sparked hope addressing this problem, we must not be too quick to incorporate or solely focus on technological advancements. We ask empirical questions about how ethically collaborate with and integrate autonomous into clinical workplace. For these Human-Autonomy Teams (HATs), poised make leap domain, special consideration around construct of trust is order. A reflexive look toward multidisciplinary nature such HAT projects illuminates a deeper dive varied stakeholder considerations ethics trust. In paper, investigate impact domain---and ranges expertise within domains---on ethics- trust-related HATs health. outline our engagement 23 participants two speculative activities: design fiction factorial survey vignettes. Grounded by video storyboard prototype, AI- Psychotherapy-domain experts novices alike imagined TEAMMAIT, prospective system psychotherapy training. From inductive analysis emerged 10 themes surrounding ethics, trust, collaboration. Three can seen as substantial barriers collaboration, where they would work an teammate that didn't meet ethical standards. Another five interrelated, context-dependent, variable factors collaboration teammate. final represent explicit role practices. conclude evaluating findings through lens Mayer et al.'s Integrative Model Organizational Trust discuss risks adapt models ability-, benevolence-, integrity-based These updates motivate implications integration work.

Language: Английский

Citations

0