Jun Zhu

Ph.D. Student

Media & Information @ MSU

She/Her

zhujun at msu dot edu

I am a first year PhD student in Information & Media at Michigan State University, advised by Dr. Megh Marathe.

My research focuses on the areas of Human-Computer Interaction (HCI), Health Informatics, and Computer-Supported Collaborative Work (CSCW). Specifically, I study the everyday experiences of how people use technology to manage their health conditions (e.g., how people engage with and make sense of health data). I use human-centered approaches to design, build, and evaluate inclusive sociotechnical systems with people, emphasizing collaboration rather than one-sided solutions.

I completed a MS in informatics at University of California Irvine, advised by Dr. Elena Agapie. I am also fortunate to be mentored by Dr. Corina Sas and Dr. Daniel Epstein.

Why research/HCI? I grew up in a generation shaped by technology. While rapid technological development has made life easier in many ways, it has also created new challenges for some people. My ultimate goal is to use scientific methods and technical skills to explore how technology can better serve people, creating work that makes a real impact on the world.

Outside school, you’ll find me:
Snowboarding. Playing video games, and Legos.

news

Jun 23, 2025	Our paper “Living with Brain Data: Collaboration and Equity in Data-Intensive Brain Implants” has been accepted to CSCW 2025.
Feb 15, 2025	The paper I worked with Dennis Wang (lead author), “Understanding How Personal Activities Are Shared In Short-form Videos” has been accepted to CSCW 2025.
Jan 16, 2025	Our paper “A Systematic Review and Meta-Analysis of Research on Goals for Behavior Change” has been accepted to CHI 2025. This is my very first first-author publication!
Jun 14, 2024	Officially graduated with a Master of Science in Informatics from UC Irvine. Every new beginning comes from some other beginning’s end. - Seneca.
May 10, 2024	I attended CHI 2024 in Honolulu as a SV. I met so many great people there, and really enjoyed it!
Jul 11, 2023	I attended DIS’23 as an SV working in the video team. It was my first conference experience, and I was super excited.

selected publications

CHI’25
A Systematic Review and Meta-Analysis of Research on Goals for Behavior Change

Jun Zhu, Sruzan Lolla, Meeshu Agnihotri, and 4 more authors

In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

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HCI research on goals and behavior change has significantly increased over the past decade. However, while emerging work has synthesized personal informatics goals, fewer efforts have focused on also integrating HCI research on behavior change to chart future research directions. We conducted a systematic review of 180 papers focused on goals and behavior change from over 10 years of SIGCHI journals and conference proceedings. We further analyzed 37 papers from the data set that included evaluations of interventions’ effectiveness in-the-wild. We also reported on the effectiveness of 76 of such technology-based interventions and the meta-analysis of 28 of these interventions. We find that most research has focused on goals in the health and wellbeing domains, centered on the individual, low intrinsic goals, and partial use of theoretical constructs in technology-based interventions. We highlight opportunities for supporting multiple-domain, social, high intrinsic, and qualitative goals in HCI research for behavior change, and for more effective technology-based interventions with stronger theoretical underpinning, supporting users’ awareness of deep motives for qualitative goals.
@inproceedings{zhu2025systematic, author = {Zhu, Jun and Lolla, Sruzan and Agnihotri, Meeshu and Asgari Tappeh, Sahar and Guluzade, Lala and Agapie, Elena and Sas, Corina}, title = {A Systematic Review and Meta-Analysis of Research on Goals for Behavior Change}, pages = {1--25}, year = {2025}, publisher = {Association for Computing Machinery}, url = {https://dl.acm.org/doi/full/10.1145/3706598.3714072}, booktitle = {Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems}, serise = {CHI'25}, }
CSCW’25
Living with Brain Data: Collaboration and Equity in Data-Intensive Brain Implants

Jun Zhu, and Megh Marathe

Proceedings of the ACM on Human-Computer Interaction, 2025

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This paper examines the lived experience of implanted medical devices through the case of brain implants for epilepsy. These data-driven devices record brain signals to detect and interrupt seizures, introducing new forms of technology-mediated care. Drawing on interviews with 17 patients and caregivers, we examine how data-intensive implants reshape medical interactions and everyday life. Participants reported shifts in doctor-patient collaboration, including the integration of a new expert—an engineer responsible for device-related concerns—into clinical visits. The preparatory and ongoing work of data transfer posed challenges for participants who were low-income, aging, traveling, or busy. Participants expressed a strong desire to access implant data to better understand and manage their condition. They were satisfied with the device unless their medications and/or seizures increased. We discuss emerging considerations for collaborative care and design justice introduced by medical implants that, unlike wearables, deliver treatment and cannot be easily set aside.
@article{zhu2025living, author = {Zhu, Jun and Marathe, Megh}, title = {Living with Brain Data: Collaboration and Equity in Data-Intensive Brain Implants}, journal = {Proceedings of the ACM on Human-Computer Interaction}, volume = {9}, number = {7}, pages = {1--26}, year = {2025}, publisher = {Association for Computing Machinery}, url = {https://doi.org/10.1145/3757625}, series = {CSCW'25}, }