Missed Opportunities for Human-Centered AI Research: Understanding Stakeholder Collaboration in Mental Health AI Research

被引：3
作者：
Yoo D.W. [1 ]
Woo H. [2 ]
Pendse S.R. [1 ]
Lu N.Y. [3 ]
Birnbaum M.L. [1 ]
Abowd G.D. [4 ]
Choudhury M.D.E. [1 ]
机构：
[1] Kent State University, Kent, 44242, OH
[2] Georgia Institute of Technology, Atlanta
[3] Zucker Hillside Hospital, Psychiatry Research, Glen Oaks, NY
[4] Northeastern University, Boston
来源：
Proceedings of the ACM on Human-Computer Interaction | 2024年 / 8卷 / CSCW1期
基金：
美国国家卫生研究院;
关键词：
AI research; boundary objects; collaboration; human-AI interaction; mental health; patient-generated data; social media;
D O I：
10.1145/3637372
中图分类号：
学科分类号：
摘要：
In the mental health domain, patient engagement is key to designing human-centered technologies. CSCW and HCI researchers have delved into various facets of collaboration in AI research; however, previous research neglects the individuals who both produce the data and will be most impacted by the resulting technologies, such as patients. This study examines how interdisciplinary researchers and mental health patients who donate their data for AI research collaborate and how we can improve human-centeredness in mental health AI research. We interviewed patient participants, AI researchers, and clinical researchers in a federally funded mental health AI research project. We used the concept of boundary objects to understand stakeholder collaboration. Our findings reveal that the social media data provided by patient participants functioned as boundary objects that facilitated stakeholder collaboration. Although the collaboration appeared to be successful, we argue that building consensus, or understanding each other's perspectives, can improve the human-centeredness of mental health AI research. Based on the findings, we provide suggestions for human-centered mental health AI research, working with data donors as domain experts, making invisible work visible, and privacy implications. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.
引用
收藏
相关论文
共 91 条
[1]  
Aarhus R., Ballegaard S.A., Negotiating boundaries: Managing disease at home, Conference on Human Factors in Computing Systems - Proceedings, 2, pp. 1223-1232, (2010)
[2]  
Adamou M., Antoniou G., Greasidou E., Lagani V., Charonyktakis P., Tsamardinos I., Mining free-text medical notes for suicide risk assessment, Proceedings of the 10th hellenic conference on artificial intelligence, pp. 1-8, (2018)
[3]  
Badillo-Urquiola K., Smriti D., McNally B., Golub E., Bonsignore E., Wisniewski P.J., Stranger danger! social media app features co-designed with children to keep them safe online, Proceedings of the 18th ACM International Conference on Interaction Design and Children, pp. 394-406, (2019)
[4]  
Bardzell S., Feminist HCI: Taking stock and outlining an agenda for design, Conference on Human Factors in Computing Systems - Proceedings, 2, pp. 1301-1310, (2010)
[5]  
Baumer E.P.S., Toward human-centered algorithm design, Big Data & Society, 4, 2, (2017)
[6]  
Baumer E.P.S., Socioeconomic Inequalities in the Non use of Facebook, Proceedings of the 2018 CHI conference on human factors in computing systems, pp. 1-14, (2018)
[7]  
Bijker W.E., Of bicycles, bakelites, and bulbs: Toward a theory of sociotechnical change, (1997)
[8]  
Birnbaum M.L., Ernala S.K., Rizvi A.F., Arenare E., Van Meter A.R., De Choudhury M., Kane J.M., Detecting relapse in youth with psychotic disorders utilizing patient-generated and patient-contributed digital data from Facebook, npj Schizophrenia, 5, 1, (2019)
[9]  
Bowker G.C., Star S.L., Sorting things out: Classification and its consequences, (2000)
[10]  
Braun V., Clarke V., Using thematic analysis in psychology, Qualitative Research in Psychology, 3, pp. 77-101, (2006)
12345678910