I am a second-year PhD student in Human-Centered Computing at Georgia Tech specializing in Cognitive Science and Human-Computer Interaction. I'm working with Dr. Ashok Goel at the Design&Intelligence Lab (DILab). My research focuses on human-AI interaction, specifically I explore the understanding, use, and impact of AI in educational context. My current research centers around Jill Watson, a virtual teaching assistant operating on Piazza forum answering students' questions. My previous research focused on health informatics and patient-provider collaboration.
I received my bachelor of science degree from University of Washington, Seattle in informatics and psychology. I worked closely with the Department of Human-Centered Design and Engineering, the Information School, the DUB group, and the psychology department on numerous research projects during my undergraduate study. At UW, I worked in areas such as personal health informatics, patient-provider collaboration, user value scale, computing education, disaster information management, and health and risky behaviors. You can learn more about my past research projects below.
In my free time, I like to frequent gym, art museums, cat cafes, bookstores, and ceramics painting shops.
|Design in the HCI Classroom: Setting a Research Agenda. [PDF]
Lauren Wilcox, Betsy Disalvo, Dick Henneman, Qiaosi Wang. In Proceedings of the ACM Conference on Designing Interactive Systems (DIS ‘19). ACM, San Diego, CA, USA. https://doi.org/10.1145/3322276.3322381. (Acceptance rate: 25%)
Best Paper Award (Top 1% of papers)
|Identifying and Planning for Change: Patient-provider Collaboration Using Lightweight Food Diaries in Healthy Eating and Irritable Bowel Syndrome. [PDF]
Chia-Fang Chung, Qiaosi Wang, Jessica Schroeder, Allison Cole, Jasmine Zia, James Fogarty, Sean A. Munson. PACM Interact. Mob. Wearable Ubiquitous Technol. 3, 1, Article 7 (March 2019), 23 pages. https://doi.org/10.1145/3314394
|21st annual Undergraduate Research Symposium, University of Washington
Novel Photo-Based Food Diaries to Support Patient-Provider Collaboration. Oral presentation. May, 2018.
|2018 HCDE Research Showcase, University of Washington
Foodprint: Supporting Better Food-related Data Generation & Sharing. Poster presentation. February, 2018.
|19th annual Undergraduate Research Symposium, University of Washington
Tonic Immobility and Maladaptive Cognitions as Predictors of Sexual Revictimization among College Women. Poster presentation. May, 2016.
| Mobile Apps for Generating and Sharing Food-Related Data. Collaborative Healthcare Using Patient-Generated Data.
Munson S, Chung C, Kientz J, Fogarty J, Zia J, Cole A, Schroeder J, Karkar R, Wang Q, Vilardaga R.Reos Partners, Robert Wood Johnson Foundation. December 2017. Retrieved from: https://reospartners.com/projects/collaborative-healthcare-using-patient-generated-data/
We are exploring the longitudinal changes in students’ perceptions about a virtual teaching assistant operating on Piazza forum, and how it correlates with students’ interaction pattern with the agent. I conducted literature review on human-AI interaction and technology perceptions; Composed IRB protocol; Designed bi-weekly surveys to measure students’ perception about the agent on Canvas.
We are working on exploring the feasibility of leveraging wearable technology and other types of sensing data to gather more context about online learners. Currently, we are in the initial stage of the project. I have been helping with the IRB protocol and study design. I composed interview protocol, EMA surveys and other study documents. We just finished survey testing on Qualtrics and our pilot study. This project is funded by NSF under Award #1842693.
In this project, we worked on evaluating the effectiveness of a mobile application in connecting kids to nature. We brainstormed study design methods and wrote up interview protocol. We also led observational study sessions, conducted focus groups, surveys, and contextual inquiry to gain kids’ opinion on the mobile application. Then we cleaned and analyzed video data using interaction analysis.
The prevalence use of technology has helped people to generate personal data such as sleep, activity on their own. For patient with Irritable Bowel Syndrome (IBS) it is crucial for them to know what kinds of food would trigger their discomfort. Some patients chose to record their food intake by writing a food diary and show providers the diary during their session. However, food diary is extremely hard to read and gather data efficiently during a 15-minute patient-provider session. To support patient and provider's collaboration, we designed a photo-based food diary which will help patient to collect data more engagingly and efficiently, and also help providers to give suggestions efficiently.
We previously investigated the factors that constitutes user burdens in computing technologies and developed a scale to measure the burden certain systems cast on users. But we found that for certain systems, even though the burden is really high, users still continue to use it. We believe that there are certain values in systems that will motivate users' sustain usage. For this project we are trying to find different values users see in computing technologies, how they are affecting users choices of technology adoption, and finding a way to measure them.
This project is an individual project advised by Dr. Debra Kaysen and was presented at the 2016 Undergraduate Research Symposium at University of Washington Abstract Poster Women who experienced sexual assault are 2 – 3 times more likely to experience sexual revictimization (SR). Factors that predict risk of SR include emotion dysregulation, guilt, and lower heart rate reactivity when facing sexual threats. These factors overlap with tonic immobility (TI), which is characterized by victim’s diminished or absent physical or vocal response during sexual assault ( “freeze” response). Post-traumatic maladaptive cognitions also may increase risk for SR, either directly or through increasing risk of TI. Based on prior literature, my hypotheses are: 1. Higher TI will predict higher SV risk; 2. More severe maladaptive cognitions will predict higher SV risk; 3. TI will be predicted by maladaptive cognitions. Research findings suggest that prevention efforts may want to target women who experienced prior TI as a means of preventing future revictimization. These prevention efforts may be more effective if they include cognitive interventions.
|Travel||June 22nd - June 30th||In San Diego for the Designing Interactive Systems (DIS) 2019 conferrence|
|Paper||March 21st, 2019||Our paper Design in the HCI Classroom: Setting a Research Agenda was accepted to DIS 2019 and received best paper award (top 1% of the papers)!!|
|Travel||January 18th - January 21st||In Seattle|
|Paper||January 9th||Our paper Identifying and Planning for Change: Patient-provider Collaboration Using Lightweight Food DIaries in Healthy Eating and Irritable Bowel Syndrome was accepted to IMWUT with minor revision!!|
|Travel||December 6th - January 4th||Visiting family in China|