Publications and Projects

By themes / By date

Theme 1: Evaluate the Learning Impact of AI Errors in NLP-based Educational Systems in STEM

Summary: How do AI errors generated by NLP-based educational systems impact learning, and why? Do some learners get affected more? I perform empirical evaluations and propose a framework to assess such impacts. Projects on this topic have received funding support from Microsoft Research and Google.

Publications: (* = equal contribution)

Am I Wrong, or is the Autograder Wrong? Effects of AI Grading Mistakes on Learning

Tiffany Wenting Li*, Silas Hsu*, Max Fowler, Zhilin Zhang, Craig Zilles, Karrie Karahalios

ICER 2023 (Paper / ACM DL)

Exploring collaborative caption editing to augment video-based learning

Bhavya, Si Chen, Zhilin Zhang, Tiffany Wenting Li, Chengxiang Zhai, Lawrence Angrave, Yun Huang

Educational technology research and development 2022 (Paper / Springer)

Theme 2: Identify Learners’ Attitudinal and Perceptual Challenges with Imperfect and Opaque AI Educational Systems

Summary: What are learners’ perceptions, attitudes, and mental models towards an imperfect and opaque AI educational system, and why? So far, I have answered this question regarding a short-answer autograding system and a free-hand sketching feedback system. I identified various human-AI interaction challenges and proposed deployment guidelines. Projects on this topic have received funding support from Google.

Publications: (* = equal contribution)

Attitudes Surrounding an Imperfect AI Autograder

Silas Hsu*, Tiffany Wenting Li*, Zhilin Zhang, Max Fowler, Craig Zilles, Karrie Karahalios

CHI 2021 (Paper / Video / ACM DL)

Evaluating an Intelligent Sketching Feedback Tool for Scalable Spatial Visualization Skill Training

Tiffany Wenting Li, Ziang Xiao, Molly H Goldstein, Michael L Philpott, Brian Woodard

ASEE Annual Conference 2021 (Paper / ASEE Peer)

Theme 3: Develop Novel AI Systems for Learning Contexts That Are Traditionally Hard to Scale

Context 1: Scaling open-ended non-STEM courses

Summary: Unlike many STEM courses, non-STEM courses tend to encourage introspection, critique, and subjective interpretation. Currently, however, large and online non-STEM courses are often taught similarly to STEM courses. How may AI help change the status quo? I performed user-centered ideations with stakeholders and proposed six future research directions.

Publications:

Context 2: Scaling spatial visualization training

Summary: How do we provide personalized and enjoyable spatial visualization training at scale? I developed a personalized feedback system for free-hand sketching problems and an online spatial visualization training platform deployed in a college classroom.

Publications:

A Data-Driven, Player-Centric Approach to Evaluating Spatial Skill Training Games

Helen Wauck, Brian Woodard, Ziang Xiao, Tiffany Wenting Li, Brian Bailey

CHI Play 2020 (Paper / ACM DL)

Honorable Mention Award

Theme 4: Other HCI Topics

I have contributed my knowledge in Bayesian modeling in projects spanning a variety of HCI topics, including collective decision making, conversational agents, and social network analysis.

Publications: (* = equal contribution)

Budget, Cost, or Both? An Empirical Exploration of Mechanisms in Quadratic Surveys

Ti-Chung Cheng*, Tiffany Wenting Li*, Karrie Karahalios, Hari Sundaram

CI 2025 (Paper)

Organize, Then Vote: Exploring Cognitive Load in Quadratic Survey Interfaces

Ti-Chung Cheng, Yutong Zhang, Yi-Hung Chou, Vinay Koshy, Tiffany Wenting Li, Karrie Karahalios, Hari Sundaram

CHI 2025 (Paper / ACM DL)

Latent Homophily or Social Influence? An Empirical Analysis of Information Diffusion in Social Media Networks

Bita Fayaz Farkhad, Tiffany Wenting Li, Himel Dev, Man-pui Sally Chan, Dolores Albarracin, Hari Sundaram

In submission to Social Science and Medicine

“I can show what I really like.”: Eliciting Preferences via Quadratic Voting

Ti-Chung Cheng*, Tiffany Wenting Li*, Yi-Hung Chou, Karrie Karahalios, Hari Sundaram

CSCW 2021 (Paper / Video / ACM DL)