Hello! こんにちは! Bonjour! ¡Hola!
您好! 안녕하세요! Guten tag! नमस्ते!

Tae Jones Tae Jones

I am a PhD candidate at the University of Washington Paul G. Allen School of Computer Science and Engineering, specializing in Health Human-Computer Interaction (HCI). I'm proud to be a member of DUB and co-advised by Dr. James Fogarty and Dr. Sean Munson in the Intentional Traces Collective Lab of Human Centered Design & Engineering (HCDE) department.

My academic journey includes a BBA in Information Systems with a minor in Applied Statistics, and a MS in Healthcare Management & Informatics from Kennesaw State University, where I was advised by Dr. Adriane Randolph in The BrainLab.

Publications

SCOPE: Examining Technology-Enhanced Collaborative Care Management of Depression in the Cancer Setting
ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW)
2025
Collaborative care management is an evidence-based approach to integrated psychosocial care for patients with comorbid cancer and depression. Prior work highlights challenges in patient-provider collaboration in navigating parallel cancer care and psychosocial care journeys of these patients. We design and deploy SCOPE, a platform for technology-enhanced collaborative care combining a patient-facing mobile app with a provider-facing registry. We examine SCOPE through a total of 45 interviews with patients and providers conducted in SCOPE's 15 months of design and development and 24 Months of SCOPE's deployment for actual care in 6 cancer clinics. We find that: (1) SCOPE supported patient engagement in its underlying collaborative care and behavioral activation interventions, (2) patient-generated data in SCOPE improved patient-provider collaboration between and within in-person sessions, (3) SCOPE supported providers in delivering care and improved care team collaboration, (4) experience with SCOPE created evolving expectations for collaboration around data, and (5) SCOPE's deployment in actual care surfaced important implementation barriers. We discuss the implications of our findings in terms of designing for engagement with behavioral health interventions, negotiating patient data sharing and provider responsiveness, supporting personalized self-tracking goals in evidence-based interventions, exploring the role of digital health navigators in technology-enhanced care, and the need for flexibility in aligning technology-supported interventions to patient needs.
Examining Researcher Experiences and Tensions Around Participant Engagement in Health HCI Research
ACM (Association for Computing Machinery) CHI conference on Human Factors in Computing Systems- Late Breaking Work
2025
Research success in Health Human-Computer Interaction (Health HCI) often hinges on effective participant engagement. However, the definition and measurement of engagement can vary significantly depending on the context of the specific study. This variation necessitates using different methods and strategies to address issues related to low participation. This paper explores the perceptions of Health HCI researchers regarding the challenges they encounter in facilitating participant engagement and achieving meaningful research impact. Through semi-structured interviews with junior and more senior researchers, we examine insights into their experiences and the barriers they encounter. Our findings highlight a relationship between intended research contributions and researcher focus on engagement, a distinction between probe and product mindsets in Health HCI research, and complexities surrounding researcher well-being as they strive for compelling health research contributions. We also discuss implications for individual researchers, institutions, and the broader field of Health HCI, aiming to enhance the overall quality and relevance of research outcomes.
MigraineTracker: Examining patient experiences with goal-directed self-tracking for a chronic health condition
ACM (Association for Computing Machinery) CHI conference on Human Factors in Computing Systems
2024
Self-tracking and personal informatics offer important potential in chronic condition management, but such potential is often undermined by difficulty in aligning self-tracking tools to an individual’s goals. Informed by prior proposals of goal-directed tracking, we designed and developed MigraineTracker, a prototype app that emphasizes explicit expression of goals for migraine-related self-tracking. We then examined migraine patient experiences in a deployment study for an average of 12+ months, including a total of 50 interview sessions with 10 patients working with 3 different clinicians. Patients were able to express multiple types of goals, evolve their goals over time, align tracking to their goals, personalize their tracking, reflect in the context of their goals, and gain insights that enabled understanding, communication, and action. We discuss how these results highlight the importance of accounting for distinct and concurrent goals in personal informatics together with implications for the design of future goal-directed personal informatics tools.
UW SCOPE: Examining Technology-Enhanced Collaborative Care Management of Depression in the Cancer Setting
ACM (Association for Computing Machinery) CHI conference on Human Factors in Computing Systems- Workshop
2023
The UW SCOPE study (Supporting Collaborative Care to Optimize Psychosocial Engagement in the Cancer Setting) is designing and developing a new web-based patient-provider platform for technology-enhanced Collaborative Care Management of depression in urban and rural cancer centers. The platform is currently deployed as part of a pragmatic effectiveness-implementation trial of technology-enhanced Collaborative Care vs. Usual Collaborative Care. This position paper for the CHI 2023 Workshop on Bridging HCI and Implementation Science introduces our setting of patients with cancer and depression, reviews our human-centered design of SCOPE, and reflects on our experiences with SCOPE as a case study at the intersection of human-centered design and implementation science.
Examining the Impact of Social Video Game Tournaments on Gamers’ Mental Well-Being
Information Systems and Neuroscience: NeuroIS Retreat
2021
We examine the impact that gaming on a social tournament platform while playing multiplayer games has on the mental well-being of college students. In this early-stage study, we used the Scale of Positive and Negative Experiences and the Player Experience and Need Satisfaction Scale to measure well-being, gaming motivation, and enjoyment. We complement these survey tools with facial expression analysis of students during gameplay for a more holistic understanding of their emotional states and the impact of social gaming.
Using NeuroIS tools to understand how individual characteristics relate to cognitive behaviors of students
Information Systems and Neuroscience: NeuroIS Retreat
2020
NeuroIS tools have increasingly been used to examine cognitive behaviors in educational settings. Here we present results of ongoing work applying neurophysiological tools to examine the cognitive load of student learners in the context of chemistry education. In particular, we investigate how individual characteristics relate to the Pope Engagement Index for students interacting with an information system for visualizing molecules. Characteristics such as meditation, levels of athleticism, and medication affecting alertness were found to significantly and positively correlate with cognitive load.