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ORCIDIan Drosos
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Books and Theses
- 2022
[b1]Ian Drosos:
Synthesizing Transparent and Inspectable Technical Workflows. University of California, San Diego, USA, 2022
Journal Articles
- 2018
- [j1]Adam Rule
, Ian Drosos, Aurélien Tabard, James D. Hollan:
Aiding Collaborative Reuse of Computational Notebooks with Annotated Cell Folding. Proc. ACM Hum. Comput. Interact. 2(CSCW): 150:1-150:12 (2018)
Conference and Workshop Papers
- 2024
- [c10]Ian Drosos, Advait Sarkar, Xiaotong Xu, Carina Negreanu, Sean Rintel, Lev Tankelevitch:
"It's like a rubber duck that talks back": Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study. CHIWORK 2024: 16:1-16:21 - [c9]Majeed Kazemitabaar, Jack Williams, Ian Drosos, Tovi Grossman, Austin Zachary Henley, Carina Negreanu, Advait Sarkar:
Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition. UIST 2024: 92:1-92:19 - 2023
- [c8]Ian Drosos, Nicholas Wilson, Andrew D. Gordon, Sruti Srinivasa Ragavan, Jack Williams:
FxD: a functional debugger for dysfunctional spreadsheets. VL/HCC 2023: 31-40 - [c7]Kasra Ferdowsi, Jack Williams, Ian Drosos, Andrew D. Gordon, Carina Negreanu, Nadia Polikarpova, Advait Sarkar, Benjamin Zorn:
COLDECO: An End User Spreadsheet Inspection Tool for AI-Generated Code. VL/HCC 2023: 82-91 - 2022
- [c6]Ian Drosos, Philip J. Guo:
The Design Space of Livestreaming Equipment Setups: Tradeoffs, Challenges, and Opportunities. Conference on Designing Interactive Systems 2022: 835-848 - 2021
- [c5]Ian Drosos, Philip J. Guo:
Streamers Teaching Programming, Art, and Gaming: Cognitive Apprenticeship, Serendipitous Teachable Moments, and Tacit Expert Knowledge. VL/HCC 2021: 1-6 - 2020
- [c4]Ian Drosos, Titus Barik, Philip J. Guo, Robert DeLine, Sumit Gulwani:
Wrex: A Unified Programming-by-Example Interaction for Synthesizing Readable Code for Data Scientists. CHI 2020: 1-12 - [c3]Sam Lau, Ian Drosos, Julia M. Markel, Philip J. Guo:
The Design Space of Computational Notebooks: An Analysis of 60 Systems in Academia and Industry. VL/HCC 2020: 1-11 - 2018
- [c2]René Just, Chris Parnin, Ian Drosos, Michael D. Ernst:
Comparing developer-provided to user-provided tests for fault localization and automated program repair. ISSTA 2018: 287-297 - 2017
- [c1]Ian Drosos, Philip J. Guo, Chris Parnin:
HappyFace: Identifying and predicting frustrating obstacles for learning programming at scale. VL/HCC 2017: 171-179
Informal and Other Publications
- 2024
- [i6]Ian Drosos, Advait Sarkar, Andrew D. Gordon:
"My toxic trait is thinking I'll remember this": gaps in the learner experience of video tutorials for feature-rich software. CoRR abs/2404.07114 (2024) - [i5]Majeed Kazemitabaar, Jack Williams, Ian Drosos, Tovi Grossman, Austin Z. Henley, Carina Negreanu, Advait Sarkar:
Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition. CoRR abs/2407.02651 (2024) - [i4]Ian Drosos, Advait Sarkar, Xiaotong Xu, Carina Negreanu, Sean Rintel, Lev Tankelevitch:
"It's like a rubber duck that talks back": Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study. CoRR abs/2407.02903 (2024) - [i3]Bhuvanashree Murugadoss, Christian Pölitz, Ian Drosos, Vu Le, Nick McKenna, Carina Suzana Negreanu, Chris Parnin, Advait Sarkar:
Evaluating the Evaluator: Measuring LLMs' Adherence to Task Evaluation Instructions. CoRR abs/2408.08781 (2024) - 2023
- [i2]Andrew D. Gordon, Carina Negreanu, José Cambronero, Rasika Chakravarthy, Ian Drosos, Hao Fang, Bhaskar Mitra, Hannah Richardson, Advait Sarkar, Stephanie Simmons, Jack Williams, Ben Zorn:
Co-audit: tools to help humans double-check AI-generated content. CoRR abs/2310.01297 (2023) - [i1]Advait Sarkar, Ian Drosos, Rob DeLine, Andrew D. Gordon, Carina Negreanu, Sean Rintel, Jack Williams, Benjamin G. Zorn:
Participatory prompting: a user-centric research method for eliciting AI assistance opportunities in knowledge workflows. CoRR abs/2312.16633 (2023)
Coauthor Index
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