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I am an Assistant Professor in the School of Information at Kent State University. I am also a member of the Brain Health Research Institute and the Neurodiversity Research Initiative at Kent State University. I earned a PhD in Human-Centered Computing and an MS in Human-Computer Interaction from Georgia Tech. During my PhD, I undertook research internships at both Meta and the Mayo Clinic and also had the privilege of serving as a visiting scientist at Northwell Health.


My research focuses on creating a patient-centered approach to artificial intelligence (AI) in mental health. While there is much excitement about the potential of AI to offer more objective, accessible, and personalized treatments in mental health, the current research landscape often overlooks the invaluable perspectives of patients. By actively seeking and integrating these perspectives, we can develop AI tools that not only better meet patient needs but also address critical ethical considerations such as transparency, fairness, and autonomy. My work aims to explore these patient perspectives and establish guidelines for patient-centeredness in the development and application of mental health AI.  


Research Areas: Human-AI Interaction, Computer-Supported Cooperative Work (CSCW), Digital Mental Health

NEWS

Jan 2024 - Our paper "Patient Perspectives on AI-driven Predictions of Schizophrenia Relapse: Understanding Concerns and Opportunities for Self-Care and Treatment" has been accepted at CHI 2024. This paper will be published in April and presented in May at the CHI conference.

PUBLICATIONS

2024

13. Yoo, D. W., Woo, H., Nguyen, C. V., Birnbaum, M., Kruzan, K., Kim, J., Abowd, J., & De Choudhury, M. (2024) Patient Perspectives on AI-Driven Predictions of Schizophrenia Relapses: Understanding Concerns and Opportunities for Self-Care and Treatment. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (Acceptance rate: 26.4%). CHI 2024. (pdf) (forthcoming)

12. Yoo, D. W., Woo, H., Pendse, S., Lu, N., Birnbaum, M., Abowd, G., & De Choudhury, M.(2024). Missed Opportunities for Human-Centered AI Research: Understanding Stakeholder Collaboration in Mental Health AI Research. Proceedings of the ACM on Human-Computer Interaction (PACMHCI), In Proceedings of the ACM on Human-Computer Interaction, (CSCW). PACM-HCI (CSCW). (pdf) (forthcoming)

2023

11. Yoo, D. W., Bhatnagar, A., Ernala, S. K., Ali, A., Birnbaum, M. L., Abowd, G. D., & De Choudhury, M. (2023). Discussing Social Media During Psychotherapy Consultations: Patient Narratives and Privacy Implications. Proceedings of the ACM on Human-Computer Interaction, (CSCW). PACM-HCI (CSCW). (pdf) (link)

10. Park, J. W., Sun, S. X., Cheng, T., Yoo, D. W., Zhou, J., Do, Y., ... & Arriaga, R. I. (2023). Exergy: A Toolkit to Simplify Creative Applications of Wind Energy Harvesting. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 7(1), 1-28. (pdf) (link)

2022

9. Kruzan, K. P., Williams, K. D., Meyerhoff, J., Yoo, D. W., O'Dwyer, L. C., De Choudhury, M., & Mohr, D. C. (2022). Social media-based interventions for adolescent and young adult mental health: A scoping review. Internet interventions. (pdf) (link)

8. Hall, K., Yoo, D. W., Zhang, W., Bin Morshed, M., Das Swain, V., Abowd, G. D., ... & Kim, J. G. (2022, April). Supporting the Contact Tracing Process with WiFi Location Data: Opportunities and Challenges. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. CHI 2022. (pdf) (link)

7. Ernala, S. K., Seybolt, J., Yoo, D. W., Birnbaum, M. L., Kane, J. M., & De Choudhury, M. (2022). The Reintegration Journey Following a Psychiatric Hospitalization: Examining the Role of Social Technologies. Proceedings of the ACM on Human-computer Interaction, (CSCW). PACM-HCI (CSCW).  (pdf) (link)

6. Zhou, J., Saha, K., Lopez Carron, I. M., Yoo, D. W., Deeter, C. R., De Choudhury, M., & Arriaga, R. I. (2022). Veteran Critical Theory as a Lens to Understand Veterans' Needs and Support on Social Media. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW1). PACM-HCI(CSCW). (pdf) (link)

2021

5. Yoo, D. W., Ernala, S. K., Saket, B., Weir, D., Arenare, E., Ali, A. F., ... & De Choudhury, M. (2021). Clinician perspectives on using computational mental health insights from patients’ social media activities: design and qualitative evaluation of a prototype. JMIR Mental Health. (pdf) (link)

2020

4. Yoo, D. W., Birnbaum, M. L., Van Meter, A. R., Ali, A. F., Arenare, E., Abowd, G. D., & De Choudhury, M. (2020). Designing a clinician-facing tool for using insights from patients’ social media activity: Iterative co-design approach. JMIR Mental Health. (pdf) (link)

2019

3. Yoo, D. W., & De Choudhury, M. (2019). Designing dashboard for campus stakeholders to support college student mental health. In Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare. PervasiveHealth 2019. (pdf) (link)

2. Saha, K., Reddy, M. D., das Swain, V., Gregg, J. M., Grover, T., Lin, S., ... & De Choudhury, M. (2019). Imputing missing social media data stream in multisensor studies of human behavior. In 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII).

1. Saha, K., Bayraktaroglu, A. E., Campbell, A. T., Chawla, N. V., De Choudhury, M., D'Mello, S. K., ... & Yoo, D. W. (2019). Social media as a passive sensor in longitudinal studies of human behavior and wellbeing. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. CHI EA 2019.