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Qiaosi (Chelsea) Wang

Ph.D. Student
Human-Centered Computing
Georgia Tech
Email: qswang at gatech dot edu

I am a third-year PhD student in Human-Centered Computing at Georgia Tech specializing in Cognitive Science and Human-Computer Interaction. I am working with Dr. Ashok Goel at the Design&Intelligence Lab (DILab). In my research, I leverage theories from cognitive science, HCI, and CSCW to understand the design, evaluation and impact of community-facing conversational agents situated in online human communities. Currently, I am using mixed-methods approach to explore the design of community-facing conversational agents to help online learners build communities and social connections.

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 several research projects during my undergraduate study. At UW, I worked in 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.

I am a plant parent, cat lover, and sci-fi show enthusiast.


Conference Proceedings
Sensing Affect to Empower Students: Learner Perspectives on Affect-Sensitive Technology in Large Educational Contexts. [PDF] [Talk]
Qiaosi Wang, Shan Jing, David Joyner, Lauren Wilcox, Hong Li, Thomas Ploetz, Betsy Disalvo. In Proceedings of the ACM Conference on Learning at Scale 2020 (L@S ‘20). ACM, Virtual Conference, USA. (Acceptance rate: 21%)
Best Student Paper Award
The Synchronicity Paradox in Online Education. [PDF]
David Joyner, Qiaosi Wang, Suyash Thakare, Shan Jing, Ashok Goel, Blair MacIntyre. In Proceedings of the ACM Conference on Learning at Scale 2020 (L@S ‘20). ACM, Virtual Conference, USA. (Acceptance rate: 21%)
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. (Acceptance rate: 25%)
Best Paper Award
Journal Articles
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.
Abstracts & Extended Abstracts
Jill Watson SA: Design and Evaluation of a Virtual Agent to Build Communities Among Online Learners. [PDF]
Qiaosi Wang, Shan Jing, Ida Camacho, David Joyner, Ashok Goel. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA ’20). Association for Computing Machinery, Honolulu, HI, USA. (Acceptance rate: 41.8%)
Workshop Papers, Posters and Presentations
Designing for Agent-Mediated Online Social Connections: Lessons Learned and Potential Challenges. [PDF]
Qiaosi Wang, Ida Camacho, Ashok Goel. CSCW2020 Workshop on CUI@CSCW: Collaborating through Conversational User Interfaces. October, 2020.
Novel Photo-Based Food Diaries to Support Patient-Provider Collaboration. Oral presentation. May, 2018.
21st annual Undergraduate Research Symposium, University of Washington
Foodprint: Supporting Better Food-related Data Generation & Sharing. Poster presentation. February, 2018.
2018 HCDE Research Showcase, University of Washington
Tonic Immobility and Maladaptive Cognitions as Predictors of Sexual Revictimization among College Women. Poster presentation. May, 2016.
19th annual Undergraduate Research Symposium, University of Washington
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:


Active Projects

online communities
Designing and Evaluating AI agent for Community Building in Online Education
Collaborators: Shan Jing, Ida Camacho, David Joyner, Ashok Goel
Georgia Tech School of Interactive Computing

We are designing and developing an AI agent to help online learners build communities and social connections. We are interested in whether the community-building AI agent can help improve students’ feeling of social presence. I conducted literature review on community building in online learning, situated learrning, social cognitive theories; Designing experiments to evaluate community-building agent; Conducting semi-structured interviews to understand online learners’ current community-building practices.

human-AI interaction through conversation
Measuring and Predicting Students' Mental Model of Virtual Teaching Assistants
Collaborators: Koustuv Saha, David Joyner, Ashok Goel
Georgia Tech School of Interactive Computing

We are exploring the feasibility of measuring human perception and attitudes of the agent through analyzing the conversations between human and virtual agent. The goal is to design conversational agent that can detect and adjust to user perception and attitudes towards 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 to provide ground truth data; Conducted quantitative statistical analysis to infer changes in students’ perception and conversa- tions with the agent; Analyzing conversations between student and virtual agent using NLP techniques such as sentiment analysis, word embeddings (word2vec)

Past Projects

kids making phone call
Leveraging Behavioral and Physiological Feedback in the Design of Affect-Sensitive Distance Learning
Collaborators: Hong Li, David Joyner, Thomas Ploetz, Lauren Wilcox, Betsy DiSalvo
Georgia Tech School of Interactive Computing

Worked on exploring the feasibility of leveraging wearable technology and other types of sensing data to gather more context about online learners. Specifically, I am interested in the design of affect-sensi- tive wearables and the ethical and privacy issues with student affect data use in educational settings. Composed IRB protocols and led study design; Designed and conducted in-class observational study to provide ground truth for affect data analysis; Conducted 11 semi-structured interviews with students to understand their attitudes on the use of wearable devices in educational settings; Conducted open-cod- ing on interview data; Designed survey to understand online students’ attitudes and opinions about the design of wearables and emotion data use

kids making phone call
NatureCollections: Can a mobile app connect kids with nature?
Collaborators: Saba Kawas, Katie Davis
University of Washington Information School

Worked on evaluating the effectiveness of a mobile application in connecting kids with nature. I brainstormed study procedures and designed interview protocol; Led several observational study sessions, conducted focus groups, surveys, and contextual inquiry to gain kids’ opinion on the mobile application; Cleaned and analyzed video data using interaction analysis.

patient provider collaboration
Supporting Patient Provider Collaboration Around Personal Informatics Data
Collaborators: Chia-Fang Chung, Sean Munson
University of Washington HCDE

Worked on exploring the effectiveness of electronic photo-based food diary in supporting patient-pro- vider collaboration. Leveraged the photo-based food journal prototype to understand patient and provider needs; Scheduled and conducted interviews with 17 patient-provider pairs; Analyzed interview data using affinity diagram; Conducted literature review

user satisfaction
User Value Scale
Collaborators: Hyewon Suh, Julie Kientz
University of Washington HCDE

Worked on designing a user value scale to measure users’ perceived value in computing technologies, and how it affect users choices of technology adoption; Brainstormed and defined initial user values through affinity diagram; Designed interview protocols and survey questions; Participated in partici- pant recruitment; Conducted literature review and pilot interviews; Familiarized with Amazon Mechanical Turk(AMT) and helped distribute surveys

Predictors of Sexual Revictimization
Collaborators: Debra Kaysen
University of Washington, Center for the Study of Health and Risky Behaviors (CSHRB)

This project is an individual project advised by Dr. Debra Kaysen and was presented at the 2016 Undergraduate Research Symposium at University of Washington. 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.


Conference 9/10/20 Our position paper on designing for agent-mediated online social connection was accepted to CUI@CSCW2020 Workshop! I will present this paper at the workshop and attend CSCW2020 (for the first time :D)
Award 8/14/20 My first lead author paper "Sensing Affect to Empower Students: Learner Perspectives of Affect-Sensitive Technology in Large Educational Contexts" won the Best Student Paper Award at Learning@Scale 2020! Super thankful for all the support and guidance from my co-authors.
Conference 8/12/20 I am attending Learning@Scale 2020 Virtual Conference from Aug 12-14th. I will also present our paper on Affect-Sensing on August 13th.
PhD Milestone 4/10/20 I passed my PhD qualifier exam today in the middle of a pandemic! Many thanks to my awesome and supportive advisor and committee: Ashok Goel, Betsy DiSalvo, David Joyner, and Lauren Wilcox.
Paper 3/10/20 Two papers accepted at Learning at Scale 2020! In the first paper, also my first first-author full paper, we explored students' perspectives on affect-sensing technology in large educational context, discussing design, privacy and usage. The second paper discusses the "synchronicity paradox" of online learners' social presence in online education. Many thanks to my wonderful collaborators!
Paper 2/7/20 My first paper as lead author "Jill Watson SA: Design and Evaluation of a Virtual Agent to Build Communities Among Online Learners" was accepted to CHI2020 LBW! Excited to present this work at CHI2020 poster sessions in Hawaii :D
Travel 6/22/19 In San Diego for the Designing Interactive Systems (DIS) 2019 conference
Paper 3/21/19 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)!!
Paper 1/9/19 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!!