ToneWars: Connecting Language Learners and Native Speakers through Collaborative Mobile Games. - Andrew Head; Yi Xu; Jingtao Wang (Intelligent Tutoring Systems, 2014)

Lamello: Passive Acoustic Sensing for Tangible Input Components. - Valkyrie Savage; Andrew Head; Björn Hartmann; Dan B. Goldman; Gautham J. Mysore; Wilmot Li (CHI, 2015)

Tutorons: Generating context-relevant, on-demand explanations and demonstrations of online code. - Andrew Head; Codanda Appachu; Marti A. Hearst; Björn Hartmann (VL/HCC, 2015)

Social health cues developers use when choosing open source packages. - Andrew Head (SIGSOFT FSE, 2016)

Exploring the Design Space of Automatically Synthesized Hints for Introductory Programming Assignments. - Ryo Suzuki 001; Gustavo Soares; Elena L. Glassman; Andrew Head; Loris D'Antoni; Björn Hartmann (CHI Extended Abstracts, 2017)

Can Human Development be Measured with Satellite Imagery? - Andrew Head; Mélanie Manguin; Nhat Tran; Joshua E. Blumenstock (ICTD, 2017)

Writing Reusable Code Feedback at Scale with Mixed-Initiative Program Synthesis. - Andrew Head; Elena L. Glassman; Gustavo Soares; Ryo Suzuki 001; Lucas Figueredo; Loris D'Antoni; Björn Hartmann (L@S, 2017)

TraceDiff: Debugging unexpected code behavior using trace divergences. - Ryo Suzuki 001; Gustavo Soares; Andrew Head; Elena L. Glassman; Ruan Reis; Melina Mongiovi; Loris D'Antoni; Björn Hartmann (VL/HCC, 2017)

Interactive Extraction of Examples from Existing Code. - Andrew Head; Elena L. Glassman; Björn Hartmann; Marti A. Hearst (CHI, 2018)

When not to comment: questions and tradeoffs with API documentation for C++ projects. - Andrew Head; Caitlin Sadowski; Emerson R. Murphy-Hill; Andrea Knight (ICSE, 2018)

Discovering API Usability Problems at Scale. - Emerson R. Murphy-Hill; Caitlin Sadowski; Andrew Head; John Daughtry; Andrew Macvean; Ciera Jaspan; Collin Winter (WAPI@ICSE, 2018)

WiFröst: Bridging the Information Gap for Debugging of Networked Embedded Systems. - William McGrath; Jeremy Warner; Mitchell Karchemsky; Andrew Head; Daniel Drew; Bjoern Hartmann (UIST, 2018)

Managing Messes in Computational Notebooks. - Andrew Head; Fred Hohman; Titus Barik; Steven Mark Drucker; Robert DeLine (CHI, 2019)

Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models. - Fred Hohman; Andrew Head; Rich Caruana; Robert DeLine; Steven Mark Drucker (CHI, 2019)

Composing Flexibly-Organized Step-by-Step Tutorials from Linked Source Code, Snippets, and Outputs. - Andrew Head; Jason Jiang; James Smith 003; Marti A. Hearst; Björn Hartmann (CHI, 2020)

Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions. - Dongyeop Kang; Andrew Head; Risham Sidhu; Kyle Lo; Daniel S. Weld; Marti A. Hearst (SDP@EMNLP, 2020)

Interactive Program Distillation. - Andrew Head (2020)

Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols. - Andrew Head; Kyle Lo; Dongyeop Kang; Raymond Fok; Sam Skjonsberg; Daniel S. Weld; Marti A. Hearst (CHI, 2021)

Modeling Mathematical Notation Semantics in Academic Papers. - Hwiyeol Jo; Dongyeop Kang; Andrew Head; Marti A. Hearst (EMNLP (Findings), 2021)

Fine-Grained Lineage for Safer Notebook Interactions. - Stephen Macke; Aditya G. Parameswaran; Hongpu Gong; Doris Jung Lin Lee; Doris Xin; Andrew Head (Proc. VLDB Endow., 2021)

Math Augmentation: How Authors Enhance the Readability of Formulas using Novel Visual Design Practices. - Andrew Head; Amber Xie; Marti A. Hearst (CHI, 2022)

From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks. - Hyeonsu B. Kang; Rafal Kocielnik; Andrew Head; Jiangjiang Yang; Matt Latzke; Aniket Kittur; Daniel S. Weld; Doug Downey; Jonathan Bragg (CHI, 2022)

Scim: Intelligent Faceted Highlights for Interactive, Multi-Pass Skimming of Scientific Papers. - Raymond Fok; Andrew Head; Jonathan Bragg; Kyle Lo; Marti A. Hearst; Daniel S. Weld (CoRR, 2022)

Bolt-on, Compact, and Rapid Program Slicing for Notebooks [Scalable Data Science]. - Shreya Shankar; Stephen Macke; Sarah E. Chasins; Andrew Head; Aditya G. Parameswaran (Proc. VLDB Endow., 2022)

Rewriting the Script: Adapting Text Instructions for Voice Interaction. - Alyssa Hwang; Natasha Oza; Chris Callison-Burch; Andrew Head (Conference on Designing Interactive Systems, 2023)

CALYPSO: LLMs as Dungeon Master's Assistants. - Andrew Zhu; Lara J. Martin; Andrew Head; Chris Callison-Burch (AIIDE, 2023)

CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context. - Joseph Chee Chang; Amy X. Zhang; Jonathan Bragg; Andrew Head; Kyle Lo; Doug Downey; Daniel S. Weld (CHI, 2023)

Colaroid: A Literate Programming Approach for Authoring Explorable Multi-Stage Tutorials. - April Yi Wang; Andrew Head; Ashley Ge Zhang; Steve Oney; Christopher Brooks 001 (CHI, 2023)

Scim: Intelligent Skimming Support for Scientific Papers. - Raymond Fok; Hita Kambhamettu; Luca Soldaini; Jonathan Bragg; Kyle Lo; Marti A. Hearst; Andrew Head; Daniel S. Weld (IUI, 2023)

Tyche: In Situ Analysis of Random Testing Effectiveness. - Harrison Goldstein; Benjamin C. Pierce; Andrew Head (UIST (Adjunct Volume), 2023)

FFL: A Language and Live Runtime for Styling and Labeling Typeset Math Formulas. - Zhiyuan Wu; Jiening Li; Kevin Ma; Hita Kambhamettu; Andrew Head (UIST, 2023)

The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces. - Kyle Lo; Joseph Chee Chang; Andrew Head; Jonathan Bragg; Amy X. Zhang; Cassidy Trier; Chloe Anastasiades; Tal August; Russell Authur; Danielle Bragg; Erin Bransom; Isabel Cachola; et al. (CoRR, 2023)

Complex Mathematical Symbol Definition Structures: A Dataset and Model for Coordination Resolution in Definition Extraction. - Anna Martin-Boyle; Andrew Head; Kyle Lo; Risham Sidhu; Marti A. Hearst; Dongyeop Kang (CoRR, 2023)

CALYPSO: LLMs as Dungeon Masters' Assistants. - Andrew Zhu; Lara J. Martin; Andrew Head; Chris Callison-Burch (CoRR, 2023)

Grounded Intuition of GPT-Vision's Abilities with Scientific Images. - Alyssa Hwang; Andrew Head; Chris Callison-Burch (CoRR, 2023)

Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing. - Tal August; Lucy Lu Wang; Jonathan Bragg; Marti A. Hearst; Andrew Head; Kyle Lo (ACM Trans. Comput. Hum. Interact., 2023)

Explainable Notes: Examining How to Unlock Meaning in Medical Notes with Interactivity and Artificial Intelligence. - Hita Kambhamettu; Danaë Metaxa; Kevin Johnson; Andrew Head (CHI, 2024)

Ivie: Lightweight Anchored Explanations of Just-Generated Code. - Litao Yan; Alyssa Hwang; Zhiyuan Wu; Andrew Head (CHI, 2024)

Property-Based Testing in Practice. - Harrison Goldstein; Joseph W. Cutler; Daniel Dickstein; Benjamin C. Pierce; Andrew Head (ICSE, 2024)

Tyche: Making Sense of PBT Effectiveness. - Harrison Goldstein; Jeffrey Tao; Zac Hatfield-Dodds; Benjamin C. Pierce; Andrew Head (UIST, 2024)

Traceable Text: Deepening Reading of AI-Generated Summaries with Phrase-Level Provenance Links. - Hita Kambhamettu; Jamie Flores; Andrew Head (CoRR, 2024)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. - Matt Deitke; Christopher Clark; Sangho Lee 008; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CoRR, 2024)

The Semantic Reader Project. - Kyle Lo; Joseph Chee Chang; Andrew Head; Jonathan Bragg; Amy X. Zhang; Cassidy Trier; Chloe Anastasiades; Tal August; Russell Authur; Danielle Bragg; Erin Bransom; Isabel Cachola; et al. (Commun. ACM, 2024)

Accelerating Scientific Paper Skimming with Augmented Intelligence Through Customizable Faceted Highlights. - Raymond Fok; Luca Soldaini; Cassidy Trier; Erin Bransom; Kelsey MacMillan; Evie Yu-Yen Cheng; Hita Kambhamettu; Jonathan Bragg; Kyle Lo; Marti A. Hearst; Andrew Head; Daniel S. Weld (ACM Trans. Interact. Intell. Syst., 2024)

Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation. - Yue Yang 006; Ajay Patel; Matt Deitke; Tanmay Gupta; Luca Weihs; Andrew Head; Mark Yatskar; Chris Callison-Burch; Ranjay Krishna; Aniruddha Kembhavi; Christopher Clark (ACL (1), 2025)

Traceable Texts and Their Effects: A Study of Summary-Source Links in AI-Generated Summaries. - Hita Kambhamettu; Jamie Flores; Andrew Head (CHI Extended Abstracts, 2025)

FreeForm: Flexibly Augmenting Formulas with Synchronized Markup and Graphical Edits. - Jeffrey Tao; Litao Yan; Jessica Shi 001; Mia Ginsberg; Andrew Head (CHI, 2025)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models. - Matt Deitke; Christopher Clark; Sangho Lee 001; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CVPR, 2025)

QED in Context: An Observation Study of Proof Assistant Users. - Jessica Shi 002; Cassia Torczon; Harrison Goldstein; Benjamin C. Pierce; Andrew Head (Proc. ACM Program. Lang., 2025)