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Justin D. Weisz

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affiliation: IBM Research AI, USA

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Journal Articles

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2022
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April Yi Wang, Dakuo Wang, Jaimie Drozdal, Michael J. Muller, Soya Park, Justin D. Weisz, Xuye Liu, Lingfei Wu, Casey Dugan:
Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks. ACM Trans. Comput. Hum. Interact. 29(2): 17:1-17:33 (2022)
2019
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Dakuo Wang, Justin D. Weisz, Michael J. Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla R. Tausczik, Horst Samulowitz, Alexander G. Gray:
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI. Proc. ACM Hum. Comput. Interact. 3(CSCW): 211:1-211:24 (2019)
2016
[j1]
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Anni Coden, W. Sabrina Lin, Keith Houck, Michael A. Tanenblatt, Jeff Boston, Julie MacNaught, Danny Soroker, Justin D. Weisz, Shimei Pan, Jui-Hsin Lai, Jie Lu, Steve Wood, Yinglong Xia, Ching-Yung Lin:
Uncovering insider threats from the digital footprints of individuals. IBM J. Res. Dev. 60(4): 8 (2016)

Conference and Workshop Papers

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2025
[c59]
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Jessica He, Stephanie Houde, Justin D. Weisz:
Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation. CHI 2025: 540:1-540:18
[c58]
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Justin D. Weisz, Shraddha Vijay Kumar, Michael J. Muller, Karen-Ellen Browne, Arielle Goldberg, Katrin Ellice Heintze, Shagun Bajpai:
Examining the Use and Impact of an AI Code Assistant on Developer Productivity and Experience in the Enterprise. CHI Extended Abstracts 2025: 673:1-673:13
[c57]
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Upol Ehsan, Elizabeth Anne Watkins, Philipp Wintersberger, Carina Manger, Nina Hubig, Saiph Savage, Justin D. Weisz, Andreas Riener:
New Frontiers of Human-centered Explainable AI (HCXAI): Participatory Civic AI, Benchmarking LLMs, XAI Hallucinations, and Responsible AI Audits. CHI Extended Abstracts 2025: 793:1-793:6
[c56]
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Michael J. Muller, Jessica He, Justin D. Weisz:
Exploration and Optimization of Generative Variability in Future Work: A Mixed-Initiative Analysis. CHIWORK 2025: 26:1-26:13
[c55]
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Osnat Mokryn, Orit Shaer, Werner Geyer, Mary Lou Maher, Justin D. Weisz, Daniel Buschek, Lydia B. Chilton:
HAI-GEN 2025: 6th Workshop on Human-AI Co-Creation with Generative Models. IUI Companion 2025: 179-182
[c54]
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Darío Andrés Silva Moran, Kristina Brimijoin, Gabriel Enrique Gonzalez, Stephanie Houde, Michael J. Muller, Michelle Brachman, Justin D. Weisz:
ACE: Moving toward Co-Investigation with the Agentic Code Explorer. IUI Workshops 2025: 211-224
[c53]
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Stephanie Houde, Kristina Brimijoin, Michael J. Muller, Steven I. Ross, Darío Andrés Silva Moran, Gabriel Enrique Gonzalez, Siya Kunde, Morgan A. Foreman, Justin D. Weisz:
Controlling AI Agent Participation in Group Conversations: A Human-Centered Approach. IUI 2025: 390-408
[c52]
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Michelle Brachman, Arielle Goldberg, Andrew Anderson, Stephanie Houde, Michael J. Muller, Justin D. Weisz:
Towards Personalized and Contextualized Code Explanations. UMAP (Adjunct Publication) 2025: 120-125
2024
[c51]
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Justin D. Weisz, Jessica He, Michael J. Muller, Gabriela Hoefer, Rachel Miles, Werner Geyer:
Design Principles for Generative AI Applications. CHI 2024: 378:1-378:22
[c50]
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Qiaosi Wang, Sarah Walsh, Mei Si, Jeffrey Kephart, Justin D. Weisz, Ashok K. Goel:
Theory of Mind in Human-AI Interaction. CHI Extended Abstracts 2024: 493:1-493:6
[c49]
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Michael J. Muller, Justin D. Weisz, Stephanie Houde, Steven I. Ross:
Drinking Chai with Your (AI) Programming Partner: Value Tensions in the Tokenization of Future Human-AI Collaborative Work. CHIWORK 2024: 7:1-7:15
[c48]
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Jessica He, Stephanie Houde, Gabriel Enrique Gonzalez, Darío Andrés Silva Moran, Steven I. Ross, Michael J. Muller, Justin D. Weisz:
AI and the Future of Collaborative Work: Group Ideation with an LLM in a Virtual Canvas. CHIWORK 2024: 9:1-9:14
[c47]
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Michael J. Muller, Stephanie Houde, Gabriel Enrique Gonzalez, Kristina Brimijoin, Steven I. Ross, Darío Andrés Silva Moran, Justin D. Weisz:
Group Brainstorming with an AI Agent: Creating and Selecting Ideas. ICCC 2024: 156-165
[c46]
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Werner Geyer, Mary Lou Maher, Justin D. Weisz, Daniel Buschek, Lydia B. Chilton:
HAI-GEN 2024: 5th Workshop on Human-AI Co-Creation with Generative Models. IUI Companion 2024: 122-124
[c45]
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Gabriel Enrique Gonzalez, Darío Andrés Silva Moran, Stephanie Houde, Jessica He, Steven I. Ross, Michael J. Muller, Siya Kunde, Justin D. Weisz:
Collaborative Canvas: A Tool for Exploring LLM Use in Group Ideation Tasks. IUI Workshops 2024
2023
[c44]
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Upol Ehsan, Philipp Wintersberger, Elizabeth Anne Watkins, Carina Manger, Gonzalo A. Ramos, Justin D. Weisz, Hal Daumé III, Andreas Riener, Mark O. Riedl:
Human-Centered Explainable AI (HCXAI): Coming of Age. CHI Extended Abstracts 2023: 353:1-353:7
[c43]
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Jessica He, David Piorkowski, Michael J. Muller, Kristina Brimijoin, Stephanie Houde, Justin D. Weisz:
Understanding How Task Dimensions Impact Automation Preferences with a Conversational Task Assistant. AutomationXP@CHI 2023
[c42]
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Jessica He, David Piorkowski, Michael J. Muller, Kristina Brimijoin, Stephanie Houde, Justin D. Weisz:
Rebalancing Worker Initiative and AI Initiative in Future Work: Four Task Dimensions. CHIWORK 2023: 3:1-3:16
[c41]
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Michael J. Muller, Heloisa Candello, Justin D. Weisz:
Interactional Co-Creativity of Human and AI in Analogy-Based Design. ICCC 2023: 112-116
[c40]
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Steven I. Ross, Stephanie Houde, Fernando Martinez, Michael J. Muller, Justin D. Weisz:
The Programmer's Assistant User Experience. IUI Companion 2023: 102-104
[c39]
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Steven I. Ross, Michael J. Muller, Fernando Martinez, Stephanie Houde, Justin D. Weisz:
A Case Study in Engineering a Conversational Programming Assistant's Persona 121-129. IUI Workshops 2023: 121-129
[c38]
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Justin D. Weisz, Michael J. Muller, Jessica He, Stephanie Houde:
Toward General Design Principles for Generative AI Applications 130-144. IUI Workshops 2023: 130-144
[c37]
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Mary Lou Maher, Justin D. Weisz, Lydia B. Chilton, Werner Geyer, Hendrik Strobelt:
HAI-GEN 2023: 4th Workshop on Human-AI Co-Creation with Generative Models. IUI Companion 2023: 190-192
[c36]
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Steven I. Ross, Fernando Martinez, Stephanie Houde, Michael J. Muller, Justin D. Weisz:
The Programmer's Assistant: Conversational Interaction with a Large Language Model for Software Development. IUI 2023: 491-514
2022
[c35]
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Michael J. Muller, Justin D. Weisz:
Extending a Human-AI Collaboration Framework with Dynamism and Sociality. CHIWORK 2022: 10:1-10:12
[c34]
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Justin D. Weisz, Mary Lou Maher, Hendrik Strobelt, Lydia B. Chilton, David Bau, Werner Geyer:
HAI-GEN 2022: 3rd Workshop on Human-AI Co-Creation with Generative Models. IUI Companion 2022: 4-6
[c33]
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Stephanie Houde, Steven I. Ross, Michael J. Muller, Mayank Agarwal, Fernando Martinez, John T. Richards, Kartik Talamadupula, Justin D. Weisz:
Opportunies for Generative AI in UX Modernization 81-91. IUI Workshops 2022: 81-91
[c32]
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Michael J. Muller, Steven I. Ross, Stephanie Houde, Mayank Agarwal, Fernando Martinez, John T. Richards, Kartik Talamadupula, Justin D. Weisz:
Drinking Chai with Your (AI) Programming Partner: A Design Fiction about Generative AI for Software Engineering 107-122. IUI Workshops 2022: 107-122
[c31]
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Jiao Sun, Q. Vera Liao, Michael J. Muller, Mayank Agarwal, Stephanie Houde, Kartik Talamadupula, Justin D. Weisz:
Investigating Explainability of Generative AI for Code through Scenario-based Design. IUI 2022: 212-228
[c30]
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Justin D. Weisz, Michael J. Muller, Steven I. Ross, Fernando Martinez, Stephanie Houde, Mayank Agarwal, Kartik Talamadupula, John T. Richards:
Better Together? An Evaluation of AI-Supported Code Translation. IUI 2022: 369-391
2021
[c29]
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Dakuo Wang, Josh Andres, Justin D. Weisz, Erick Oduor, Casey Dugan:
AutoDS: Towards Human-Centered Automation of Data Science. CHI 2021: 79:1-79:12
[c28]
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Upol Ehsan, Q. Vera Liao, Michael J. Muller, Mark O. Riedl, Justin D. Weisz:
Expanding Explainability: Towards Social Transparency in AI systems. CHI 2021: 82:1-82:19
[c27]
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Werner Geyer, Lydia B. Chilton, Justin D. Weisz, Mary Lou Maher:
HAI-GEN 2021: 2nd Workshop on Human-AI Co-Creation with Generative Models. IUI Companion 2021: 15-17
[c26]
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Michael J. Muller, April Yi Wang, Steven I. Ross, Justin D. Weisz, Mayank Agarwal, Kartik Talamadupula, Stephanie Houde, Fernando Martinez, John T. Richards, Jaimie Drozdal, Xuye Liu, David Piorkowski, Dakuo Wang:
How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks. IUI Workshops 2021
[c25]
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Shweta Narkar, Yunfeng Zhang, Q. Vera Liao, Dakuo Wang, Justin D. Weisz:
Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML. IUI 2021: 170-174
[c24]
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Justin D. Weisz, Michael J. Muller, Stephanie Houde, John T. Richards, Steven I. Ross, Fernando Martinez, Mayank Agarwal, Kartik Talamadupula:
Perfection Not Required? Human-AI Partnerships in Code Translation. IUI 2021: 402-412
2020
[c23]
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Jaimie Drozdal, Justin D. Weisz, Dakuo Wang, Gaurav Dass, Bingsheng Yao, Changruo Zhao, Michael J. Muller, Lin Ju, Hui Su:
Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems. IUI 2020: 297-307
[c22]
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Stephanie Houde, Vera Liao, Jacquelyn Martino, Michael J. Muller, David Piorkowski, John T. Richards, Justin D. Weisz, Yunfeng Zhang:
Business (mis)Use Cases of Generative AI. HAI-GEN+user2agent@IUI 2020
[c21]
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Dakuo Wang, Parikshit Ram, Daniel Karl I. Weidele, Sijia Liu, Michael J. Muller, Justin D. Weisz, Abel N. Valente, Arunima Chaudhary, Dustin Ramsey Torres, Horst Samulowitz, Lisa Amini:
AutoAI: Automating the End-to-End AI Lifecycle with Humans-in-the-Loop. IUI Companion 2020: 77-78
[c20]
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Daniel Karl I. Weidele, Justin D. Weisz, Erick Oduor, Michael J. Muller, Josh Andres, Alexander G. Gray, Dakuo Wang:
AutoAIViz: opening the blackbox of automated artificial intelligence with conditional parallel coordinates. IUI 2020: 308-312
[c19]
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Josh Andres, Christine T. Wolf, Michael J. Muller, Justin D. Weisz, Narendra Nath Joshi, Aabhas Sharma, Krissy Brimijoin, Michael Desmond, Zahra Ashktorab, Qian Pan, Evelyn Duesterwald, Casey Dugan:
Cultivating Human Expertise Through AI-Assisted Data Science. DaSH@KDD 2020
[c18]
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Dakuo Wang, Josh Andres, Justin D. Weisz, Erick Oduor, Udayan Khurana, Horst Samulowitz, Arunima Chaudhary, Abel N. Valente, Dustin Ramsey Torres, Casey Dugan:
IBM AutoAI: Human-in-the-Loop Automated Machine Learning Supports Data Scientists to Build Better Models. DaSH@KDD 2020
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Justin D. Weisz, Michael J. Muller:
The Next Decade of Data Science. DaSH@KDD 2020
2019
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Zahra Ashktorab, Mohit Jain, Q. Vera Liao, Justin D. Weisz:
Resilient Chatbots: Repair Strategy Preferences for Conversational Breakdowns. CHI 2019: 254
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Zahra Ashktorab, Justin D. Weisz, Maryam Ashoori:
Thinking Too Classically: Research Topics in Human-Quantum Computer Interaction. CHI 2019: 256
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Justin D. Weisz, Mohit Jain, Narendra Nath Joshi, James Johnson, Ingrid Lange:
BigBlueBot: teaching strategies for successful human-agent interactions. IUI 2019: 448-459
2018
[c13]
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Judith Odili Uchidiuno, Justin Manweiler, Justin D. Weisz:
Privacy and Fear in the Drone Era: Preserving Privacy Expectations Through Technology. CHI Extended Abstracts 2018
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Justin D. Weisz, Maryam Ashoori, Zahra Ashktorab:
Entanglion: A Board Game for Teaching the Principles of Quantum Computing. CHI PLAY 2018: 523-534
2017
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Victor C. Dibia, Maryam Ashoori, Aaron Cox, Justin D. Weisz:
TJBot: An Open Source DIY Cardboard Robot for Programming Cognitive Systems. CHI Extended Abstracts 2017: 381-384
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Catalina Danis, Katherine Vogt, Justin D. Weisz, Yu Ma, Russell Olsen:
Factors that Help and Hinder a Daily Weighing and Reporting Behavior. CHI Extended Abstracts 2017: 2480-2486
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Mahanth Gowda, Justin Manweiler, Ashutosh Dhekne, Romit Roy Choudhury, Justin D. Weisz:
Integrating GLONASS with GPS for Drone Orientation Tracking. COMSNETS (Revised Selected Papers and Invited Papers) 2017: 77-92
2016
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Maryam Ashoori, Rachel K. E. Bellamy, Justin D. Weisz:
The Impending Ubiquity of Cognitive Objects. AAAI Workshop: Symbiotic Cognitive Systems 2016
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Mahanth Gowda, Justin Manweiler, Ashutosh Dhekne, Romit Roy Choudhury, Justin D. Weisz:
Tracking drone orientation with multiple GPS receivers. MobiCom 2016: 280-293
2015
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Maryam Ashoori, Rachel K. E. Bellamy, Justin D. Weisz:
Creating the Mood: Design for a Cognitive Meeting Room. CHI Extended Abstracts 2015: 2001-2006
2014
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Mercan Topkara, Justin D. Weisz, Shimei Pan, Jie Lu, Jennifer C. Lai:
Dare to Compare: Motivating Expertise Building in the Enterprise through Intelligent User Modeling Interfaces. DUBMOD@CIKM 2014: 1-4
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Jennifer C. Lai, Jie Lu, Shimei Pan, Danny Soroker, Mercan Topkara, Justin D. Weisz, Jeff Boston, Jason Crawford:
Expediting expertise: supporting informal social learning in the enterprise. IUI 2014: 133-142
2008
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Justin D. Weisz, Sara B. Kiesler:
How text and audio chat change the online video experience. UXTV 2008: 9-18
2007
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Justin D. Weisz, Sara B. Kiesler, Hui Zhang, Yuqing Ren, Robert E. Kraut, Joseph A. Konstan:
Watching together: integrating text chat with video. CHI 2007: 877-886
2006
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Justin D. Weisz, Thomas Erickson, Wendy A. Kellogg:
Synchronous broadcast messaging: the use of ICT. CHI 2006: 1293-1302

Parts in Books or Collections

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2009
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Justin D. Weisz:
Online Video as a Social Activity. Social Interactive Television 2009: 285-304

Informal and Other Publications

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2025
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Kush R. Varshney, Zahra Ashktorab, Djallel Bouneffouf, Matthew Riemer, Justin D. Weisz:
Scopes of Alignment. CoRR abs/2501.12405 (2025)
[i29]
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  - journals/corr/abs-2501-17258
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Stephanie Houde, Kristina Brimijoin, Michael J. Muller, Steven I. Ross, Darío Andrés Silva Moran, Gabriel Enrique Gonzalez, Siya Kunde, Morgan A. Foreman, Justin D. Weisz:
Controlling AI Agent Participation in Group Conversations: A Human-Centered Approach. CoRR abs/2501.17258 (2025)
[i28]
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  - journals/corr/abs-2502-18357
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Jessica He, Stephanie Houde, Justin D. Weisz:
Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation. CoRR abs/2502.18357 (2025)
[i27]
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Ivoline Ngong, Swanand Kadhe, Hao Wang, Keerthiram Murugesan, Justin D. Weisz, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy:
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents. CoRR abs/2502.18509 (2025)
[i26]
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Andrew Anderson, David Piorkowski, Margaret Burnett, Justin D. Weisz:
An LLM's Attempts to Adapt to Diverse Software Engineers' Problem-Solving Styles: More Inclusive & Equitable? CoRR abs/2503.11018 (2025)
2024
[i25]
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Justin D. Weisz, Jessica He, Michael J. Muller, Gabriela Hoefer, Rachel Miles, Werner Geyer:
Design Principles for Generative AI Applications. CoRR abs/2401.14484 (2024)
[i24]
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Hyo Jin Do, Rachel Ostrand, Justin D. Weisz, Casey Dugan, Prasanna Sattigeri, Dennis Wei, Keerthiram Murugesan, Werner Geyer:
Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions. CoRR abs/2405.20434 (2024)
[i23]
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Justin D. Weisz, Michael J. Muller, Arielle Goldberg, Darío Andrés Silva Moran:
Expedient Assistance and Consequential Misunderstanding: Envisioning an Operationalized Mutual Theory of Mind. CoRR abs/2406.11946 (2024)
[i22]
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Justin D. Weisz, Shraddha Vijay Kumar, Michael J. Muller, Karen-Ellen Browne, Arielle Goldberg, Katrin Ellice Heintze, Shagun Bajpai:
Examining the Use and Impact of an AI Code Assistant on Developer Productivity and Experience in the Enterprise. CoRR abs/2412.06603 (2024)
[i21]
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Matthew Riemer, Zahra Ashktorab, Djallel Bouneffouf, Payel Das, Miao Liu, Justin D. Weisz, Murray Campbell:
Can Large Language Models Adapt to Other Agents In-Context? CoRR abs/2412.19726 (2024)
2023
[i20]
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Justin D. Weisz, Michael J. Muller, Jessica He, Stephanie Houde:
Toward General Design Principles for Generative AI Applications. CoRR abs/2301.05578 (2023)
[i19]
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Steven I. Ross, Michael J. Muller, Fernando Martinez, Stephanie Houde, Justin D. Weisz:
A Case Study in Engineering a Conversational Programming Assistant's Persona. CoRR abs/2301.10016 (2023)
[i18]
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Steven I. Ross, Fernando Martinez, Stephanie Houde, Michael J. Muller, Justin D. Weisz:
The Programmer's Assistant: Conversational Interaction with a Large Language Model for Software Development. CoRR abs/2302.07080 (2023)
2022
[i17]
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Jiao Sun, Q. Vera Liao, Michael J. Muller, Mayank Agarwal, Stephanie Houde, Kartik Talamadupula, Justin D. Weisz:
Investigating Explainability of Generative AI for Code through Scenario-based Design. CoRR abs/2202.04903 (2022)
[i16]
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Justin D. Weisz, Michael J. Muller, Steven I. Ross, Fernando Martinez, Stephanie Houde, Mayank Agarwal, Kartik Talamadupula, John T. Richards:
Better Together? An Evaluation of AI-Supported Code Translation. CoRR abs/2202.07682 (2022)
2021
[i15]
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Upol Ehsan, Q. Vera Liao, Michael J. Muller, Mark O. Riedl, Justin D. Weisz:
Expanding Explainability: Towards Social Transparency in AI systems. CoRR abs/2101.04719 (2021)
[i14]
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Dakuo Wang, Josh Andres, Justin D. Weisz, Erick Oduor, Casey Dugan:
AutoDS: Towards Human-Centered Automation of Data Science. CoRR abs/2101.05273 (2021)
[i13]
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April Yi Wang, Dakuo Wang, Jaimie Drozdal, Michael J. Muller, Soya Park, Justin D. Weisz, Xuye Liu, Lingfei Wu, Casey Dugan:
Themisto: Towards Automated Documentation Generation in Computational Notebooks. CoRR abs/2102.12592 (2021)
[i12]
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Justin D. Weisz, Michael J. Muller, Stephanie Houde, John T. Richards, Steven I. Ross, Fernando Martinez, Mayank Agarwal, Kartik Talamadupula:
Perfection Not Required? Human-AI Partnerships in Code Translation. CoRR abs/2104.03820 (2021)
[i11]
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Shweta Narkar, Yunfeng Zhang, Q. Vera Liao, Dakuo Wang, Justin D. Weisz:
Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML. CoRR abs/2104.04375 (2021)
[i10]
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Mayank Agarwal, Kartik Talamadupula, Fernando Martinez, Stephanie Houde, Michael J. Muller, John T. Richards, Steven I. Ross, Justin D. Weisz:
Using Document Similarity Methods to create Parallel Datasets for Code Translation. CoRR abs/2110.05423 (2021)
2020
[i9]
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Jaimie Drozdal, Justin D. Weisz, Dakuo Wang, Gaurav Dass, Bingsheng Yao, Changruo Zhao, Michael J. Muller, Lin Ju, Hui Su:
Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems. CoRR abs/2001.06509 (2020)
[i8]
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Stephanie Houde, Vera Liao, Jacquelyn Martino, Michael J. Muller, David Piorkowski, John T. Richards, Justin D. Weisz, Yunfeng Zhang:
Business (mis)Use Cases of Generative AI. CoRR abs/2003.07679 (2020)
[i7]
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Vinod Muthusamy, Merve Unuvar, Hagen Völzer, Justin D. Weisz:
Do's and Don'ts for Human and Digital Worker Integration. CoRR abs/2010.07738 (2020)
[i6]
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Mayank Agarwal, Kartik Talamadupula, Stephanie Houde, Fernando Martinez, Michael J. Muller, John T. Richards, Steven I. Ross, Justin D. Weisz:
Quality Estimation & Interpretability for Code Translation. CoRR abs/2012.07581 (2020)
2019
[i5]
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Dakuo Wang, Justin D. Weisz, Michael J. Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla R. Tausczik, Horst Samulowitz, Alexander G. Gray:
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI. CoRR abs/1909.02309 (2019)
[i4]
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  - journals/corr/abs-1912-02675
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Maryam Ashoori, Justin D. Weisz:
In AI We Trust? Factors That Influence Trustworthiness of AI-infused Decision-Making Processes. CoRR abs/1912.02675 (2019)
[i3]
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Daniel Karl I. Weidele, Justin D. Weisz, Eno Oduor, Michael J. Muller, Josh Andres, Alexander G. Gray, Dakuo Wang:
AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates. CoRR abs/1912.06723 (2019)
2018
[i2]
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Saad Ismail, Justin Gregory Manweiler, Justin D. Weisz:
CardKit: A Card-Based Programming Framework for Drones. CoRR abs/1804.08458 (2018)
[i1]
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Victor Dibia, Maryam Ashoori, Aaron Cox, Justin D. Weisz:
Designing for Democratization: Introducing Novices to Artificial Intelligence Via Maker Kits. CoRR abs/1805.10723 (2018)

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