A wavelet-like filter based on neuron action potentials for analysis of human scalp electroencephalographs. - Elena L. Glassman (IEEE Trans. Biomed. Eng., 2005)

Reducing the Number of Channels for an Ambulatory Patient-Specific EEG-based Epileptic Seizure Detector by Applying Recursive Feature Elimination. - Elena L. Glassman; John V. Guttag (EMBC, 2006)

A quadratic regulator-based heuristic for rapidly exploring state space. - Elena L. Glassman; Russ Tedrake (ICRA, 2010)

Region of attraction estimation for a perching aircraft: A Lyapunov method exploiting barrier certificates. - Elena L. Glassman; Alexis Lussier Desbiens; Mark M. Tobenkin; Mark R. Cutkosky; Russ Tedrake (ICRA, 2012)

Visualizing and classifying multiple solutions to engineering design problems. - Elena L. Glassman (ICER, 2013)

Toward facilitating assistance to students attempting engineering design problems. - Elena L. Glassman; Ned Gulley; Robert C. Miller (ICER, 2013)

Feature engineering for clustering student solutions. - Elena L. Glassman; Rishabh Singh; Robert C. Miller (L@S, 2014)

Interacting with massive numbers of student solutions. - Elena L. Glassman (UIST (Adjunct Volume), 2014)

Mudslide: A Spatially Anchored Census of Student Confusion for Online Lecture Videos. - Elena L. Glassman; Juho Kim 001; Andrés Monroy-Hernández; Meredith Ringel Morris (CHI, 2015)

RIMES: Embedding Interactive Multimedia Exercises in Lecture Videos. - Juho Kim 001; Elena L. Glassman; Andrés Monroy-Hernández; Meredith Ringel Morris (CHI, 2015)

Learner-Sourcing in an Engineering Class at Scale. - Elena L. Glassman; Christopher J. Terman; Robert C. Miller (L@S, 2015)

Using and Designing Platforms for In Vivo Educational Experiments. - Joseph Jay Williams; Korinn Ostrow; Xiaolu Xiong; Elena L. Glassman; Juho Kim 001; Samuel G. Maldonado; Na Li 002; Justin Reich; Neil T. Heffernan (L@S, 2015)

Foobaz: Variable Name Feedback for Student Code at Scale. - Elena L. Glassman; Lyla Fischer; Jeremy Scott; Robert C. Miller (UIST, 2015)

Using and Designing Platforms for In Vivo Education Experiments. - Joseph Jay Williams; Korinn Ostrow; Xiaolu Xiong; Elena L. Glassman; Juho Kim 001; Samuel G. Maldonado; Na Li 002; Justin Reich; Neil T. Heffernan (CoRR, 2015)

OverCode: Visualizing Variation in Student Solutions to Programming Problems at Scale. - Elena L. Glassman; Jeremy Scott; Rishabh Singh; Philip J. Guo; Robert C. Miller (ACM Trans. Comput. Hum. Interact., 2015)

DocMatrix: Self-teaching from multiple sources. - Elena L. Glassman; Daniel M. Russell (ASIST, 2016)

Learnersourcing Personalized Hints. - Elena L. Glassman; Aaron Lin; Carrie J. Cai; Robert C. Miller (CSCW, 2016)

Leveraging Learners for Teaching Programming and Hardware Design at Scale. - Elena L. Glassman; Robert Miller (CSCW Companion, 2016)

Clustering and visualizing solution variation in massive programming classes. - Elena Leah Glassman (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)

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)

Teamscope: Scalable Team Evaluation via Automated Metric Mining for Communication, Organization, Execution, and Evolution. - An Ju; Elena L. Glassman; Armando Fox (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)

Visualizing API Usage Examples at Scale. - Elena L. Glassman; Tianyi Zhang 001; Björn Hartmann; Miryung Kim (CHI, 2018)

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

Approaching Polyglot Programming: What Can We Learn from Bilingualism Studies? - Rebecca L. Hao; Elena L. Glassman (PLATEAU@UIST, 2019)

Characterizing Developer Use of Automatically Generated Patches. - José Pablo Cambronero; Jiasi Shen 001; Jürgen Cito; Elena L. Glassman; Martin C. Rinard (VL/HCC, 2019)

Enabling Data-Driven API Design with Community Usage Data: A Need-Finding Study. - Tianyi Zhang 001; Björn Hartmann; Miryung Kim; Elena L. Glassman (CHI, 2020)

Proxy tasks and subjective measures can be misleading in evaluating explainable AI systems. - Zana Buçinca; Phoebe Lin; Krzysztof Z. Gajos; Elena L. Glassman (IUI, 2020)

Exempla gratis (E.G.): code examples for free. - Celeste Barnaby; Koushik Sen; Tianyi Zhang 001; Elena L. Glassman; Satish Chandra 001 (ESEC/SIGSOFT FSE, 2020)

Interactive Program Synthesis by Augmented Examples. - Tianyi Zhang 001; London Lowmanstone; Xinyu Wang 006; Elena L. Glassman (UIST, 2020)

Interpretable Program Synthesis. - Tianyi Zhang 001; Zhiyang Chen 004; Yuanli Zhu; Priyan Vaithilingam; Xinyu Wang 006; Elena L. Glassman (CHI, 2021)

Changing Computer-Usage Behaviors: What Users Want, Use, and Experience. - Mina Khan; Kathryn Wantlin; Zeel Patel; Elena L. Glassman; Pattie Maes (AsianCHI@CHI, 2021)

Evaluating the Interpretability of Generative Models by Interactive Reconstruction. - Andrew Slavin Ross; Nina Chen; Elisa Zhao Hang; Elena L. Glassman; Finale Doshi-Velez (CHI, 2021)

Visualizing Examples of Deep Neural Networks at Scale. - Litao Yan; Elena L. Glassman; Tianyi Zhang 001 (CHI, 2021)

Assuage: Assembly Synthesis Using A Guided Exploration. - Jingmei Hu; Priyan Vaithilingam; Stephen Chong; Margo I. Seltzer; Elena L. Glassman (UIST, 2021)

Interactive Cohort Analysis and Hypothesis Discovery by Exploring Temporal Patterns in Population-Level Health Records. - Tianyi Zhang 001; Thomas H. McCoy; Roy H. Perlis; Finale Doshi-Velez; Elena L. Glassman (VAHC, 2021)

PL and HCI: better together. - Sarah E. Chasins; Elena L. Glassman; Joshua Sunshine (Commun. ACM, 2021)

A Comparative Evaluation of Interventions Against Misinformation: Augmenting the WHO Checklist. - Hendrik Heuer; Elena Leah Glassman (CHI, 2022)

Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models. - Priyan Vaithilingam; Tianyi Zhang 001; Elena L. Glassman (CHI Extended Abstracts, 2022)

Designing for Continuous Interaction with Artificial Intelligence Systems. - Philipp Wintersberger; Niels van Berkel; Nadia Fereydooni; Benjamin Tag; Elena L. Glassman; Daniel Buschek; Ann Blandford; Florian Michahelles (CHI Extended Abstracts, 2022)

Revisiting Human-Robot Teaching and Learning Through the Lens of Human Concept Learning. - Serena Booth; Sanjana Sharma; Sarah Chung; Julie Shah; Elena L. Glassman (HRI, 2022)

Do Explanations Increase the Effectiveness of AI-Crowd Generated Fake News Warnings? - Ziv Epstein; Nicolò Foppiani; Sophie Hilgard; Sanjana Sharma; Elena L. Glassman; David G. Rand (ICWSM, 2022)

Concept-Annotated Examples for Library Comparison. - Litao Yan; Miryung Kim; Bjoern Hartmann; Tianyi Zhang 001; Elena L. Glassman (UIST, 2022)

Changing Computer-Usage Behaviours: What Users Want, Use, and Experience. - Mina Khan; Zeel Patel; Kathryn Wantlin; Elena L. Glassman; Pattie Maes (CoRR, 2022)

Metric Elicitation; Moving from Theory to Practice. - Safinah Ali; Sohini Upadhyay; Gaurush Hiranandani; Elena L. Glassman; Oluwasanmi Koyejo (CoRR, 2022)

PaTAT: Human-AI Collaborative Qualitative Coding with Explainable Interactive Rule Synthesis. - Simret Araya Gebreegziabher; Zheng Zhang 043; Xiaohang Tang; Yihao Meng; Elena L. Glassman; Toby Jia-Jun Li (CHI, 2023)

Accessible Text Tools: Where They Are Needed & What They Should Look Like. - Hendrik Heuer; Elena Leah Glassman (CHI Extended Abstracts, 2023)

Human-Computer Interaction and AI: What practitioners need to know to design and build effective AI system from a human perspective. - Daniel M. Russell; Q. Vera Liao; Chinmay Kulkarni 001; Elena L. Glassman; Nikolas Martelaro (CHI Extended Abstracts, 2023)

Designing for AI-Powered Social Computing Systems. - Gionnieve Lim; Hyunwoo Kim; Yoonseo Choi; Toby Jia-Jun Li; Chinmay Kulkarni 001; Hariharan Subramonyam; Joseph Seering; Michael S. Bernstein; Amy X. Zhang; Elena L. Glassman; Simon T. Perrault; Juho Kim 001 (CSCW Companion, 2023)

Towards More Effective AI-Assisted Programming: A Systematic Design Exploration to Improve Visual Studio IntelliCode's User Experience. - Priyan Vaithilingam; Elena L. Glassman; Peter Groenwegen; Sumit Gulwani; Austin Z. Henley; Rohan Malpani; David Pugh; Arjun Radhakrishna; Gustavo Soares; Joey Wang; Aaron Yim (ICSE-SEIP, 2023)

Accessible Text Tools for People with Cognitive Impairments and Non-Native Readers: Challenges and Opportunities. - Hendrik Heuer; Elena Leah Glassman (MuC, 2023)

ChainForge: An open-source visual programming environment for prompt engineering. - Ian Arawjo; Priyan Vaithilingam; Martin Wattenberg; Elena L. Glassman (UIST (Adjunct Volume), 2023)

An Interactive UI to Support Sensemaking over Collections of Parallel Texts. - Joyce Zhou; Elena L. Glassman; Daniel S. Weld (CoRR, 2023)

The Usability of Pragmatic Communication in Regular Expression Synthesis. - Priyan Vaithilingam; Yewen Pu; Elena L. Glassman (CoRR, 2023)

Designing Interfaces for Human-Computer Communication: An On-Going Collection of Considerations. - Elena L. Glassman (CoRR, 2023)

AtomXR: Streamlined XR Prototyping with Natural Language and Immersive Physical Interaction. - Alice Cai; Caine Ardayfio; AnhPhu Nguyen; Tica Lin; Elena L. Glassman (CoRR, 2023)

Where to Hide a Stolen Elephant: Leaps in Creative Writing with Multimodal Machine Intelligence. - Nikhil Singh 003; Guillermo Bernal; Daria Savchenko; Elena L. Glassman (ACM Trans. Comput. Hum. Interact., 2023)

Imagining a Future of Designing with AI: Dynamic Grounding, Constructive Negotiation, and Sustainable Motivation. - Priyan Vaithilingam; Ian Arawjo; Elena L. Glassman (Conference on Designing Interactive Systems, 2024)

ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing. - Ian Arawjo; Chelse Swoopes; Priyan Vaithilingam; Martin Wattenberg; Elena L. Glassman (CHI, 2024)

Supporting Sensemaking of Large Language Model Outputs at Scale. - Katy Ilonka Gero; Chelse Swoopes; Ziwei Gu; Jonathan K. Kummerfeld; Elena L. Glassman (CHI, 2024)

An AI-Resilient Text Rendering Technique for Reading and Skimming Documents. - Ziwei Gu; Ian Arawjo; Kenneth Li 002; Jonathan K. Kummerfeld; Elena L. Glassman (CHI, 2024)

Why Do Skimmers Perform Better with Grammar-Preserving Text Saliency Modulation (GP-TSM)? Evidence from an Eye Tracking Study. - Ziwei Gu; Owen Raymond; Naser Al Madi; Elena L. Glassman (CHI Extended Abstracts, 2024)

Human-Computer Interaction and AI: What Practitioners Need to Know to Design and Build Effective AI systems from a Human Perspective. - Daniel M. Russell; Chinmay Kulkarni 001; Elena L. Glassman; Hariharan Subramonyam; Nikolas Martelaro (CHI Extended Abstracts, 2024)

DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing. - Priyan Vaithilingam; Elena L. Glassman; Jeevana Priya Inala; Chenglong Wang (CHI, 2024)

Amortizing Pragmatic Program Synthesis with Rankings. - Yewen Pu; Saujas Vaduguru; Priyan Vaithilingam; Elena L. Glassman; Daniel Fried (ICML, 2024)

MOCHA: Model Optimization through Collaborative Human-AI Alignment. - Simret Araya Gebreegziabher; Elena L. Glassman; Toby Jia-Jun Li (UIST (Adjunct Volume), 2024)

psudo: Exploring Multi-Channel Biomedical Image Data with Spatially and Perceptually Optimized Pseudocoloring. - Simon Warchol; Jakob Troidl; Jeremy Muhlich; Robert Krüger; John Hoffer; Tica Lin; Johanna Beyer; Elena L. Glassman; Peter K. Sorger; Hanspeter Pfister (Comput. Graph. Forum, 2024)

Antagonistic AI. - Alice Cai; Ian Arawjo; Elena L. Glassman (CoRR, 2024)

Sketch Then Generate: Providing Incremental User Feedback and Guiding LLM Code Generation through Language-Oriented Code Sketches. - Zhu-Tian Chen; Zeyu Xiong; Xiaoshuo Yao; Elena L. Glassman (CoRR, 2024)

AI-Resilient Interfaces. - Elena L. Glassman; Ziwei Gu; Jonathan K. Kummerfeld (CoRR, 2024)

Reliability Criteria for News Websites. - Hendrik Heuer; Elena L. Glassman (ACM Trans. Comput. Hum. Interact., 2024)

Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning. - Simret Araya Gebreegziabher; Kuangshi Ai; Zheng Zhang 043; Elena L. Glassman; Toby Jia-Jun Li (ACL (Findings), 2025)

CorpusStudio: Surfacing Emergent Patterns In A Corpus Of Prior Work While Writing. - Hai Dang; Chelse Swoopes; Daniel Buschek; Elena L. Glassman (CHI, 2025)

Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories. - Simret Araya Gebreegziabher; Yukun Yang; Elena L. Glassman; Toby Jia-Jun Li (CHI, 2025)

Creative Writers' Attitudes on Writing as Training Data for Large Language Models. - Katy Ilonka Gero; Meera A. Desai; Carly Schnitzler; Nayun Eom; Jack Cushman; Elena L. Glassman (CHI, 2025)

Tools for Thought: Research and Design for Understanding, Protecting, and Augmenting Human Cognition with Generative AI. - Lev Tankelevitch; Elena L. Glassman; Jessica He; Majeed Kazemitabaar; Aniket Kittur; Mina Lee 002; Srishti Palani; Advait Sarkar; Gonzalo A. Ramos; Yvonne Rogers; Hari Subramonyam (CHI Extended Abstracts, 2025)

The Impact of Revealing Large Language Model Stochasticity on Trust, Reliability, and Anthropomorphization. - Chelse Swoopes; Tyler Holloway; Elena L. Glassman (CoRR, 2025)

Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale. - Priyan Vaithilingam; Munyeong Kim; Frida-Cecilia Acosta-Parenteau; Daniel Lee; Amine Mhedhbi; Elena L. Glassman; Ian Arawjo (CoRR, 2025)