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Elena L. Glassman
Person information
- affiliation: Harvard University, Radcliffe Institute for Advanced Study, Cambridge, MA, USA
- affiliation: University of California, Berkeley, Department of Electrical Engineering and Computer Sciences, CA, USA
- affiliation (PhD 2016): Massachusetts Institute of Technology, Cambridge, MA, USA
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2020 – today
- 2024
- [j6]Simon Warchol, Jakob Troidl, Jeremy Muhlich, Robert Krüger, John Hoffer, Tica Lin, Johanna Beyer, Elena L. Glassman, Peter K. Sorger, Hanspeter Pfister:
psudo: Exploring Multi-Channel Biomedical Image Data with Spatially and Perceptually Optimized Pseudocoloring. Comput. Graph. Forum 43(3) (2024) - [j5]Hendrik Heuer, Elena L. Glassman:
Reliability Criteria for News Websites. ACM Trans. Comput. Hum. Interact. 31(2): 21:1-21:33 (2024) - [c56]Priyan Vaithilingam, Ian Arawjo, Elena L. Glassman:
Imagining a Future of Designing with AI: Dynamic Grounding, Constructive Negotiation, and Sustainable Motivation. Conference on Designing Interactive Systems 2024 - [c55]Ian Arawjo, Chelse Swoopes, Priyan Vaithilingam, Martin Wattenberg, Elena L. Glassman:
ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing. CHI 2024: 304:1-304:18 - [c54]Ziwei Gu, Owen Raymond, Naser Al Madi, Elena L. Glassman:
Why Do Skimmers Perform Better with Grammar-Preserving Text Saliency Modulation (GP-TSM)? Evidence from an Eye Tracking Study. CHI Extended Abstracts 2024: 376:1-376:8 - [c53]Daniel M. Russell, Chinmay Kulkarni, Elena L. Glassman, Hariharan Subramonyam, Nikolas Martelaro:
Human-Computer Interaction and AI: What Practitioners Need to Know to Design and Build Effective AI systems from a Human Perspective. CHI Extended Abstracts 2024: 600:1-600:3 - [c52]Katy Ilonka Gero, Chelse Swoopes, Ziwei Gu, Jonathan K. Kummerfeld, Elena L. Glassman:
Supporting Sensemaking of Large Language Model Outputs at Scale. CHI 2024: 838:1-838:21 - [c51]Ziwei Gu, Ian Arawjo, Kenneth Li, Jonathan K. Kummerfeld, Elena L. Glassman:
An AI-Resilient Text Rendering Technique for Reading and Skimming Documents. CHI 2024: 898:1-898:22 - [c50]Priyan Vaithilingam, Elena L. Glassman, Jeevana Priya Inala, Chenglong Wang:
DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing. CHI 2024: 985:1-985:17 - [c49]Yewen Pu, Saujas Vaduguru, Priyan Vaithilingam, Elena L. Glassman, Daniel Fried:
Amortizing Pragmatic Program Synthesis with Rankings. ICML 2024 - [c48]Simret Araya Gebreegziabher, Elena L. Glassman, Toby Jia-Jun Li:
MOCHA: Model Optimization through Collaborative Human-AI Alignment. UIST (Adjunct Volume) 2024: 36:1-36:4 - [i29]Ziwei Gu, Ian Arawjo, Kenneth Li, Jonathan K. Kummerfeld, Elena L. Glassman:
An AI-Resilient Text Rendering Technique for Reading and Skimming Documents. CoRR abs/2401.10873 (2024) - [i28]Priyan Vaithilingam, Elena L. Glassman, Jeevana Priya Inala, Chenglong Wang:
DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing. CoRR abs/2401.10880 (2024) - [i27]Katy Ilonka Gero, Chelse Swoopes, Ziwei Gu, Jonathan K. Kummerfeld, Elena L. Glassman:
Supporting Sensemaking of Large Language Model Outputs at Scale. CoRR abs/2401.13726 (2024) - [i26]Priyan Vaithilingam, Ian Arawjo, Elena L. Glassman:
Imagining a Future of Designing with AI: Dynamic Grounding, Constructive Negotiation, and Sustainable Motivation. CoRR abs/2402.07342 (2024) - [i25]Alice Cai, Ian Arawjo, Elena L. Glassman:
Antagonistic AI. CoRR abs/2402.07350 (2024) - [i24]Zhu-Tian Chen, Zeyu Xiong, Xiaoshuo Yao, Elena L. Glassman:
Sketch Then Generate: Providing Incremental User Feedback and Guiding LLM Code Generation through Language-Oriented Code Sketches. CoRR abs/2405.03998 (2024) - [i23]Elena L. Glassman, Ziwei Gu, Jonathan K. Kummerfeld:
AI-Resilient Interfaces. CoRR abs/2405.08447 (2024) - [i22]Yewen Pu, Saujas Vaduguru, Priyan Vaithilingam, Elena L. Glassman, Daniel Fried:
Amortizing Pragmatic Program Synthesis with Rankings. CoRR abs/2407.02499 (2024) - [i21]Hendrik Heuer, Elena Leah Glassman:
Reliability Criteria for News Websites. CoRR abs/2407.03865 (2024) - [i20]Simret Araya Gebreegziabher, Kuangshi Ai, Zheng Zhang, Elena L. Glassman, Toby Jia-Jun Li:
Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning. CoRR abs/2408.03819 (2024) - [i19]Katy Ilonka Gero, Meera A. Desai, Carly Schnitzler, Nayun Eom, Jack Cushman, Elena L. Glassman:
Creative Writers' Attitudes on Writing as Training Data for Large Language Models. CoRR abs/2409.14281 (2024) - [i18]Simret Araya Gebreegziabher, Yukun Yang, Elena L. Glassman, Toby Jia-Jun Li:
Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories. CoRR abs/2409.16561 (2024) - 2023
- [j4]Nikhil Singh, Guillermo Bernal, Daria Savchenko, Elena L. Glassman:
Where to Hide a Stolen Elephant: Leaps in Creative Writing with Multimodal Machine Intelligence. ACM Trans. Comput. Hum. Interact. 30(5): 68:1-68:57 (2023) - [c47]Hendrik Heuer, Elena Leah Glassman:
Accessible Text Tools: Where They Are Needed & What They Should Look Like. CHI Extended Abstracts 2023: 20:1-20:7 - [c46]Simret Araya Gebreegziabher, Zheng Zhang, Xiaohang Tang, Yihao Meng, Elena L. Glassman, Toby Jia-Jun Li:
PaTAT: Human-AI Collaborative Qualitative Coding with Explainable Interactive Rule Synthesis. CHI 2023: 362:1-362:19 - [c45]Daniel M. Russell, Q. Vera Liao, Chinmay Kulkarni, Elena L. Glassman, Nikolas Martelaro:
Human-Computer Interaction and AI: What practitioners need to know to design and build effective AI system from a human perspective. CHI Extended Abstracts 2023: 545:1-545:3 - [c44]Gionnieve Lim, Hyunwoo Kim, Yoonseo Choi, Toby Jia-Jun Li, Chinmay Kulkarni, Hariharan Subramonyam, Joseph Seering, Michael S. Bernstein, Amy X. Zhang, Elena L. Glassman, Simon T. Perrault, Juho Kim:
Designing for AI-Powered Social Computing Systems. CSCW Companion 2023: 572-575 - [c43]Priyan Vaithilingam, Elena L. Glassman, Peter Groenwegen, Sumit Gulwani, Austin Z. Henley, Rohan Malpani, David Pugh, Arjun Radhakrishna, Gustavo Soares, Joey Wang, Aaron Yim:
Towards More Effective AI-Assisted Programming: A Systematic Design Exploration to Improve Visual Studio IntelliCode's User Experience. ICSE-SEIP 2023: 185-195 - [c42]Hendrik Heuer, Elena Leah Glassman:
Accessible Text Tools for People with Cognitive Impairments and Non-Native Readers: Challenges and Opportunities. MuC 2023: 250-266 - [c41]Ian Arawjo, Priyan Vaithilingam, Martin Wattenberg, Elena L. Glassman:
ChainForge: An open-source visual programming environment for prompt engineering. UIST (Adjunct Volume) 2023: 4:1-4:3 - [i17]Joyce Zhou, Elena L. Glassman, Daniel S. Weld:
An Interactive UI to Support Sensemaking over Collections of Parallel Texts. CoRR abs/2303.06264 (2023) - [i16]Priyan Vaithilingam, Yewen Pu, Elena L. Glassman:
The Usability of Pragmatic Communication in Regular Expression Synthesis. CoRR abs/2308.06656 (2023) - [i15]Elena L. Glassman:
Designing Interfaces for Human-Computer Communication: An On-Going Collection of Considerations. CoRR abs/2309.02257 (2023) - [i14]Ian Arawjo, Chelse Swoopes, Priyan Vaithilingam, Martin Wattenberg, Elena L. Glassman:
ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing. CoRR abs/2309.09128 (2023) - [i13]Alice Cai, Caine Ardayfio, AnhPhu Nguyen, Tica Lin, Elena L. Glassman:
AtomXR: Streamlined XR Prototyping with Natural Language and Immersive Physical Interaction. CoRR abs/2311.11238 (2023) - 2022
- [c40]Philipp Wintersberger, Niels van Berkel, Nadia Fereydooni, Benjamin Tag, Elena L. Glassman, Daniel Buschek, Ann Blandford, Florian Michahelles:
Designing for Continuous Interaction with Artificial Intelligence Systems. CHI Extended Abstracts 2022: 170:1-170:4 - [c39]Hendrik Heuer, Elena Leah Glassman:
A Comparative Evaluation of Interventions Against Misinformation: Augmenting the WHO Checklist. CHI 2022: 241:1-241:21 - [c38]Priyan Vaithilingam, Tianyi Zhang, Elena L. Glassman:
Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models. CHI Extended Abstracts 2022: 332:1-332:7 - [c37]Serena Booth, Sanjana Sharma, Sarah Chung, Julie Shah, Elena L. Glassman:
Revisiting Human-Robot Teaching and Learning Through the Lens of Human Concept Learning. HRI 2022: 147-156 - [c36]Ziv Epstein, Nicolò Foppiani, Sophie Hilgard, Sanjana Sharma, Elena L. Glassman, David G. Rand:
Do Explanations Increase the Effectiveness of AI-Crowd Generated Fake News Warnings? ICWSM 2022: 183-193 - [c35]Litao Yan, Miryung Kim, Bjoern Hartmann, Tianyi Zhang, Elena L. Glassman:
Concept-Annotated Examples for Library Comparison. UIST 2022: 65:1-65:16 - [i12]Mina Khan, Zeel Patel, Kathryn Wantlin, Elena L. Glassman, Pattie Maes:
Changing Computer-Usage Behaviours: What Users Want, Use, and Experience. CoRR abs/2201.00303 (2022) - [i11]Safinah Ali, Sohini Upadhyay, Gaurush Hiranandani, Elena L. Glassman, Oluwasanmi Koyejo:
Metric Elicitation; Moving from Theory to Practice. CoRR abs/2212.03495 (2022) - [i10]Hendrik Heuer, Elena Leah Glassman:
A Comparative Evaluation of Interventions Against Misinformation: Augmenting the WHO Checklist. CoRR abs/2212.06696 (2022) - 2021
- [j3]Sarah E. Chasins, Elena L. Glassman, Joshua Sunshine:
PL and HCI: better together. Commun. ACM 64(8): 98-106 (2021) - [c34]Mina Khan, Kathryn Wantlin, Zeel Patel, Elena L. Glassman, Pattie Maes:
Changing Computer-Usage Behaviors: What Users Want, Use, and Experience. AsianCHI@CHI 2021: 53-60 - [c33]Andrew Slavin Ross, Nina Chen, Elisa Zhao Hang, Elena L. Glassman, Finale Doshi-Velez:
Evaluating the Interpretability of Generative Models by Interactive Reconstruction. CHI 2021: 80:1-80:15 - [c32]Tianyi Zhang, Zhiyang Chen, Yuanli Zhu, Priyan Vaithilingam, Xinyu Wang, Elena L. Glassman:
Interpretable Program Synthesis. CHI 2021: 105:1-105:16 - [c31]Litao Yan, Elena L. Glassman, Tianyi Zhang:
Visualizing Examples of Deep Neural Networks at Scale. CHI 2021: 313:1-313:14 - [c30]Jingmei Hu, Priyan Vaithilingam, Stephen Chong, Margo I. Seltzer, Elena L. Glassman:
Assuage: Assembly Synthesis Using A Guided Exploration. UIST 2021: 134-148 - [c29]Tianyi Zhang, Thomas H. McCoy, Roy H. Perlis, Finale Doshi-Velez, Elena L. Glassman:
Interactive Cohort Analysis and Hypothesis Discovery by Exploring Temporal Patterns in Population-Level Health Records. VAHC 2021: 14-18 - [i9]Andrew Slavin Ross, Nina Chen, Elisa Zhao Hang, Elena L. Glassman, Finale Doshi-Velez:
Evaluating the Interpretability of Generative Models by Interactive Reconstruction. CoRR abs/2102.01264 (2021) - [i8]Ziv Epstein, Nicolò Foppiani, Sophie Hilgard, Sanjana Sharma, Elena L. Glassman, David G. Rand:
Do explanations increase the effectiveness of AI-crowd generated fake news warnings? CoRR abs/2112.03450 (2021) - 2020
- [c28]Tianyi Zhang, Björn Hartmann, Miryung Kim, Elena L. Glassman:
Enabling Data-Driven API Design with Community Usage Data: A Need-Finding Study. CHI 2020: 1-13 - [c27]Zana Buçinca, Phoebe Lin, Krzysztof Z. Gajos, Elena L. Glassman:
Proxy tasks and subjective measures can be misleading in evaluating explainable AI systems. IUI 2020: 454-464 - [c26]Celeste Barnaby, Koushik Sen, Tianyi Zhang, Elena L. Glassman, Satish Chandra:
Exempla gratis (E.G.): code examples for free. ESEC/SIGSOFT FSE 2020: 1353-1364 - [c25]Tianyi Zhang, London Lowmanstone, Xinyu Wang, Elena L. Glassman:
Interactive Program Synthesis by Augmented Examples. UIST 2020: 627-648 - [e1]Sarah E. Chasins, Elena L. Glassman, Joshua Sunshine:
10th Workshop on Evaluation and Usability of Programming Languages and Tools, PLATEAU@UIST 2019, October 24, 2019, New Orleans, Louisiana, USA. OASIcs 76, Schloss Dagstuhl - Leibniz-Zentrum für Informatik 2020, ISBN 978-3-95977-135-1 [contents] - [i7]Zana Buçinca, Phoebe Lin, Krzysztof Z. Gajos, Elena L. Glassman:
Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating Explainable AI Systems. CoRR abs/2001.08298 (2020) - [i6]Celeste Barnaby, Koushik Sen, Tianyi Zhang, Elena L. Glassman, Satish Chandra:
Exempla Gratis (E.G.): Code Examples for Free. CoRR abs/2011.01407 (2020)
2010 – 2019
- 2019
- [c24]Rebecca L. Hao, Elena L. Glassman:
Approaching Polyglot Programming: What Can We Learn from Bilingualism Studies? PLATEAU@UIST 2019: 1:1-1:7 - [c23]José Pablo Cambronero, Jiasi Shen, Jürgen Cito, Elena L. Glassman, Martin C. Rinard:
Characterizing Developer Use of Automatically Generated Patches. VL/HCC 2019: 181-185 - [i5]José Pablo Cambronero, Jiasi Shen, Jürgen Cito, Elena L. Glassman, Martin C. Rinard:
Characterizing Developer Use of Automatically Generated Patches. CoRR abs/1907.06535 (2019) - 2018
- [c22]Andrew Head, Elena L. Glassman, Björn Hartmann, Marti A. Hearst:
Interactive Extraction of Examples from Existing Code. CHI 2018: 85 - [c21]Elena L. Glassman, Tianyi Zhang, Björn Hartmann, Miryung Kim:
Visualizing API Usage Examples at Scale. CHI 2018: 580 - 2017
- [c20]Ryo Suzuki, Gustavo Soares, Elena L. Glassman, Andrew Head, Loris D'Antoni, Björn Hartmann:
Exploring the Design Space of Automatically Synthesized Hints for Introductory Programming Assignments. CHI Extended Abstracts 2017: 2951-2958 - [c19]Andrew Head, Elena L. Glassman, Gustavo Soares, Ryo Suzuki, Lucas Figueredo, Loris D'Antoni, Björn Hartmann:
Writing Reusable Code Feedback at Scale with Mixed-Initiative Program Synthesis. L@S 2017: 89-98 - [c18]An Ju, Elena L. Glassman, Armando Fox:
Teamscope: Scalable Team Evaluation via Automated Metric Mining for Communication, Organization, Execution, and Evolution. L@S 2017: 249-252 - [c17]Ryo Suzuki, Gustavo Soares, Andrew Head, Elena L. Glassman, Ruan Reis, Melina Mongiovi, Loris D'Antoni, Björn Hartmann:
TraceDiff: Debugging unexpected code behavior using trace divergences. VL/HCC 2017: 107-115 - [i4]Ryo Suzuki, Gustavo Soares, Andrew Head, Elena L. Glassman, Ruan Reis, Melina Mongiovi, Loris D'Antoni, Bjoern Hartmann:
TraceDiff: Debugging Unexpected Code Behavior Using Trace Divergences. CoRR abs/1708.03786 (2017) - 2016
- [b1]Elena Leah Glassman:
Clustering and visualizing solution variation in massive programming classes. Massachusetts Institute of Technology, Cambridge, USA, 2016 - [c16]Elena L. Glassman, Daniel M. Russell:
DocMatrix: Self-teaching from multiple sources. ASIST 2016: 1-10 - [c15]Elena L. Glassman, Robert Miller:
Leveraging Learners for Teaching Programming and Hardware Design at Scale. CSCW Companion 2016: 37-40 - [c14]Elena L. Glassman, Aaron Lin, Carrie J. Cai, Robert C. Miller:
Learnersourcing Personalized Hints. CSCW 2016: 1624-1634 - 2015
- [j2]Elena L. Glassman, Jeremy Scott, Rishabh Singh, Philip J. Guo, Robert C. Miller:
OverCode: Visualizing Variation in Student Solutions to Programming Problems at Scale. ACM Trans. Comput. Hum. Interact. 22(2): 7:1-7:35 (2015) - [c13]Juho Kim, Elena L. Glassman, Andrés Monroy-Hernández, Meredith Ringel Morris:
RIMES: Embedding Interactive Multimedia Exercises in Lecture Videos. CHI 2015: 1535-1544 - [c12]Elena L. Glassman, Juho Kim, Andrés Monroy-Hernández, Meredith Ringel Morris:
Mudslide: A Spatially Anchored Census of Student Confusion for Online Lecture Videos. CHI 2015: 1555-1564 - [c11]Elena L. Glassman, Christopher J. Terman, Robert C. Miller:
Learner-Sourcing in an Engineering Class at Scale. L@S 2015: 363-366 - [c10]Joseph Jay Williams, Korinn Ostrow, Xiaolu Xiong, Elena L. Glassman, Juho Kim, Samuel G. Maldonado, Na Li, Justin Reich, Neil T. Heffernan:
Using and Designing Platforms for In Vivo Educational Experiments. L@S 2015: 409-412 - [c9]Elena L. Glassman, Lyla Fischer, Jeremy Scott, Robert C. Miller:
Foobaz: Variable Name Feedback for Student Code at Scale. UIST 2015: 609-617 - [i3]Joseph Jay Williams, Korinn Ostrow, Xiaolu Xiong, Elena L. Glassman, Juho Kim, Samuel G. Maldonado, Na Li, Justin Reich, Neil T. Heffernan:
Using and Designing Platforms for In Vivo Education Experiments. CoRR abs/1502.04245 (2015) - [i2]Elena L. Glassman, Juho Kim, Andrés Monroy-Hernández, Meredith Ringel Morris:
Mudslide: A Spatially Anchored Census of Student Confusion for Online Lecture Videos. CoRR abs/1507.01314 (2015) - [i1]Juho Kim, Elena L. Glassman, Andrés Monroy-Hernández, Meredith Ringel Morris:
RIMES: Embedding Interactive Multimedia Exercises in Lecture Videos. CoRR abs/1507.01318 (2015) - 2014
- [c8]Elena L. Glassman, Rishabh Singh, Robert C. Miller:
Feature engineering for clustering student solutions. L@S 2014: 171-172 - [c7]Elena L. Glassman:
Interacting with massive numbers of student solutions. UIST (Adjunct Volume) 2014: 17-20 - [c6]Elena L. Glassman, Jeremy Scott, Rishabh Singh, Philip J. Guo, Robert C. Miller:
OverCode: visualizing variation in student solutions to programming problems at scale. UIST (Adjunct Volume) 2014: 129-130 - 2013
- [c5]Elena L. Glassman, Ned Gulley, Robert C. Miller:
Toward facilitating assistance to students attempting engineering design problems. ICER 2013: 41-46 - [c4]Elena L. Glassman:
Visualizing and classifying multiple solutions to engineering design problems. ICER 2013: 175-176 - 2012
- [c3]Elena L. Glassman, Alexis Lussier Desbiens, Mark M. Tobenkin, Mark R. Cutkosky, Russ Tedrake:
Region of attraction estimation for a perching aircraft: A Lyapunov method exploiting barrier certificates. ICRA 2012: 2235-2242 - 2010
- [c2]Elena L. Glassman, Russ Tedrake:
A quadratic regulator-based heuristic for rapidly exploring state space. ICRA 2010: 5021-5028
2000 – 2009
- 2006
- [c1]Elena L. Glassman, John V. Guttag:
Reducing the Number of Channels for an Ambulatory Patient-Specific EEG-based Epileptic Seizure Detector by Applying Recursive Feature Elimination. EMBC 2006: 2175-2178 - 2005
- [j1]Elena L. Glassman:
A wavelet-like filter based on neuron action potentials for analysis of human scalp electroencephalographs. IEEE Trans. Biomed. Eng. 52(11): 1851-1862 (2005)
Coauthor Index
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last updated on 2024-11-15 20:39 CET by the dblp team
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