Understanding Perspectives of Patients, Caregivers and Clinicians towards Emerging Collaborative-decision Making Technologies
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arXiv
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| Auteurs principaux: | , , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866916033341685760 |
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| author | Chung, Ray-Yuan Ortega, Athena Xu, Zixuan Yoo, Daeun Snyder, Jaime Pratt, Wanda Wightman, Aaron Hutson, Ryan Pruette, Cozumel Pollack, Ari |
| author_facet | Chung, Ray-Yuan Ortega, Athena Xu, Zixuan Yoo, Daeun Snyder, Jaime Pratt, Wanda Wightman, Aaron Hutson, Ryan Pruette, Cozumel Pollack, Ari |
| contents | In pediatrics, patients, caregivers, and clinicians share responsibility for health decisions, but limited collaboration can undermine outcomes. We conducted a qualitative study examining decision-makers perceptions toward collaborative decision-making technologies, including interactive dashboards, VR simulators, and AI voice assistants. Findings reveal differences in user opinions across groups and indicate technology acceptance is linked to users trust of these technologies. Technology developers and researchers need to explore design and implementation strategies that build and facilitate trust or appropriate distrust between users and these novel technologies before these tools can effectively support collaborative decision-making. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_21777 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Understanding Perspectives of Patients, Caregivers and Clinicians towards Emerging Collaborative-decision Making Technologies Chung, Ray-Yuan Ortega, Athena Xu, Zixuan Yoo, Daeun Snyder, Jaime Pratt, Wanda Wightman, Aaron Hutson, Ryan Pruette, Cozumel Pollack, Ari Human-Computer Interaction Artificial Intelligence In pediatrics, patients, caregivers, and clinicians share responsibility for health decisions, but limited collaboration can undermine outcomes. We conducted a qualitative study examining decision-makers perceptions toward collaborative decision-making technologies, including interactive dashboards, VR simulators, and AI voice assistants. Findings reveal differences in user opinions across groups and indicate technology acceptance is linked to users trust of these technologies. Technology developers and researchers need to explore design and implementation strategies that build and facilitate trust or appropriate distrust between users and these novel technologies before these tools can effectively support collaborative decision-making. |
| title | Understanding Perspectives of Patients, Caregivers and Clinicians towards Emerging Collaborative-decision Making Technologies |
| topic | Human-Computer Interaction Artificial Intelligence |
| url | https://arxiv.org/abs/2605.21777 |