Justin D. Weisz

101 papers A* 9A 10C 2Misc 1Journal 36Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	AgentCraft: Workshop on Developing Trustworthy Agentic AI Systems. IUI Companion Karthik Dinakar, Justin D. Weisz, Henry Lieberman, Werner Geyer
2026	J	`jnl`	AgentSCOPE: Evaluating Contextual Privacy Across Agentic Workflows. CoRR Ivoline C. Ngong, Keerthiram Murugesan, Swanand Kadhe, Justin D. Weisz, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy
2026	—	`conf`	Human-Centered Explainable AI (HCXAI): Re-examining XAI in the Era of Agentic AI. CHI Extended Abstracts Upol Ehsan, Amal Alabdulkarim, Kenneth Holstein, Min Kyung Lee, Andreas Riener, Justin D. Weisz
2025	—	`conf`	ACE: Moving toward Co-Investigation with the Agentic Code Explorer. IUI Workshops Darío Andrés Silva Moran, Kristina Brimijoin, Gabriel Enrique Gonzalez, Stephanie Houde, Michael J. Muller, Michelle Brachman, Justin D. Weisz
2025	J	`jnl`	An LLM's Attempts to Adapt to Diverse Software Engineers' Problem-Solving Styles: More Inclusive & Equitable? CoRR Andrew Anderson, David Piorkowski, Margaret Burnett, Justin D. Weisz
2025	A	`conf`	Controlling AI Agent Participation in Group Conversations: A Human-Centered Approach. IUI 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
2025	J	`jnl`	Controlling AI Agent Participation in Group Conversations: A Human-Centered Approach. CoRR 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
2025	—	`conf`	Examining the Use and Impact of an AI Code Assistant on Developer Productivity and Experience in the Enterprise. CHI Extended Abstracts Justin D. Weisz, Shraddha Vijay Kumar, Michael J. Muller, Karen-Ellen Browne, Arielle Goldberg, Katrin Ellice Heintze, Shagun Bajpai
2025	—	`conf`	Exploration and Optimization of Generative Variability in Future Work: A Mixed-Initiative Analysis. CHIWORK Michael J. Muller, Jessica He, Justin D. Weisz
2025	—	`conf`	HAI-GEN 2025: 6th Workshop on Human-AI Co-Creation with Generative Models. IUI Companion Osnat Mokryn, Orit Shaer, Werner Geyer, Mary Lou Maher, Justin D. Weisz, Daniel Buschek, Lydia B. Chilton
2025	J	`jnl`	Highlight All the Phrases: Enhancing LLM Transparency through Visual Factuality Indicators. CoRR Hyo Jin Do, Rachel Ostrand, Werner Geyer, Keerthiram Murugesan, Dennis Wei, Justin D. Weisz
2025	—	`conf`	New Frontiers of Human-centered Explainable AI (HCXAI): Participatory Civic AI, Benchmarking LLMs, XAI Hallucinations, and Responsible AI Audits. CHI Extended Abstracts Upol Ehsan, Elizabeth Anne Watkins, Philipp Wintersberger, Carina Manger, Nina C. Hubig, Saiph Savage, Justin D. Weisz, Andreas Riener
2025	—	`conf`	Position: Theory of Mind Benchmarks are Broken for Large Language Models. ICML (Position Papers) Matthew Riemer, Zahra Ashktorab, Djallel Bouneffouf, Payel Das, Miao Liu, Justin D. Weisz, Murray Campbell
2025	—	`conf`	Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents. ACL (Findings) Ivoline C. Ngong, Swanand Ravindra Kadhe, Hao Wang, Keerthiram Murugesan, Justin D. Weisz, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy
2025	J	`jnl`	Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents. CoRR Ivoline C. Ngong, Swanand Kadhe, Hao Wang, Keerthiram Murugesan, Justin D. Weisz, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy
2025	J	`jnl`	Scopes of Alignment. CoRR Kush R. Varshney, Zahra Ashktorab, Djallel Bouneffouf, Matthew Riemer, Justin D. Weisz
2025	J	`jnl`	Story Arena: A Multi-Agent Environment for Envisioning the Future of Software Engineering. CoRR Justin D. Weisz, Michael J. Muller, Kush R. Varshney
2025	—	`conf`	ToMinHAI at CUI'2025: Theory of Mind in Human-CUI Interaction. CUI Qiaosi Wang, Joel Wester, Marvin Pafla, Minha Lee, Justin D. Weisz, Mei Si
2025	—	`conf`	Towards Personalized and Contextualized Code Explanations. UMAP (Adjunct Publication) Michelle Brachman, Arielle Goldberg, Andrew Anderson, Stephanie Houde, Michael J. Muller, Justin D. Weisz
2025	A*	`conf`	Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation. CHI Jessica He, Stephanie Houde, Justin D. Weisz
2025	J	`jnl`	Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation. CoRR Jessica He, Stephanie Houde, Justin D. Weisz
2024	—	`conf`	AI and the Future of Collaborative Work: Group Ideation with an LLM in a Virtual Canvas. CHIWORK Jessica He, Stephanie Houde, Gabriel Enrique Gonzalez, Darío Andrés Silva Moran, Steven I. Ross, Michael J. Muller, Justin D. Weisz
2024	J	`jnl`	Can Large Language Models Adapt to Other Agents In-Context? CoRR Matthew Riemer, Zahra Ashktorab, Djallel Bouneffouf, Payel Das, Miao Liu, Justin D. Weisz, Murray Campbell
2024	—	`conf`	Collaborative Canvas: A Tool for Exploring LLM Use in Group Ideation Tasks. IUI Workshops Gabriel Enrique Gonzalez, Darío Andrés Silva Moran, Stephanie Houde, Jessica He, Steven I. Ross, Michael J. Muller, Siya Kunde, Justin D. Weisz
2024	A*	`conf`	Design Principles for Generative AI Applications. CHI Justin D. Weisz, Jessica He, Michael J. Muller, Gabriela Hoefer, Rachel Miles, Werner Geyer
2024	J	`jnl`	Design Principles for Generative AI Applications. CoRR Justin D. Weisz, Jessica He, Michael J. Muller, Gabriela Hoefer, Rachel Miles, Werner Geyer
2024	—	`conf`	Drinking Chai with Your (AI) Programming Partner: Value Tensions in the Tokenization of Future Human-AI Collaborative Work. CHIWORK Michael J. Muller, Justin D. Weisz, Stephanie Houde, Steven I. Ross
2024	J	`jnl`	Examining the Use and Impact of an AI Code Assistant on Developer Productivity and Experience in the Enterprise. CoRR Justin D. Weisz, Shraddha Vijay Kumar, Michael J. Muller, Karen-Ellen Browne, Arielle Goldberg, Katrin Ellice Heintze, Shagun Bajpai
2024	J	`jnl`	Expedient Assistance and Consequential Misunderstanding: Envisioning an Operationalized Mutual Theory of Mind. CoRR Justin D. Weisz, Michael J. Muller, Arielle Goldberg, Darío Andrés Silva Moran
2024	J	`jnl`	Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions. CoRR Hyo Jin Do, Rachel Ostrand, Justin D. Weisz, Casey Dugan, Prasanna Sattigeri, Dennis Wei, Keerthiram Murugesan, Werner Geyer
2024	C	`conf`	Group Brainstorming with an AI Agent: Creating and Selecting Ideas. ICCC Michael J. Muller, Stephanie Houde, Gabriel Enrique Gonzalez, Kristina Brimijoin, Steven I. Ross, Darío Andrés Silva Moran, Justin D. Weisz
2024	—	`conf`	HAI-GEN 2024: 5th Workshop on Human-AI Co-Creation with Generative Models. IUI Companion Werner Geyer, Mary Lou Maher, Justin D. Weisz, Daniel Buschek, Lydia B. Chilton
2024	—	`conf`	Theory of Mind in Human-AI Interaction. CHI Extended Abstracts Qiaosi Wang, Sarah Walsh, Mei Si, Jeffrey O. Kephart, Justin D. Weisz, Ashok K. Goel
2023	—	`conf`	A Case Study in Engineering a Conversational Programming Assistant's Persona 121-129. IUI Workshops Steven I. Ross, Michael J. Muller, Fernando Martinez, Stephanie Houde, Justin D. Weisz
2023	J	`jnl`	A Case Study in Engineering a Conversational Programming Assistant's Persona. CoRR Steven I. Ross, Michael J. Muller, Fernando Martinez, Stephanie Houde, Justin D. Weisz
2023	—	`conf`	HAI-GEN 2023: 4th Workshop on Human-AI Co-Creation with Generative Models. IUI Companion Mary Lou Maher, Justin D. Weisz, Lydia B. Chilton, Werner Geyer, Hendrik Strobelt
2023	—	`conf`	Human-Centered Explainable AI (HCXAI): Coming of Age. CHI Extended Abstracts Upol Ehsan, Philipp Wintersberger, Elizabeth Anne Watkins, Carina Manger, Gonzalo A. Ramos, Justin D. Weisz, Hal Daumé III, Andreas Riener, Mark O. Riedl
2023	C	`conf`	Interactional Co-Creativity of Human and AI in Analogy-Based Design. ICCC Michael J. Muller, Heloisa Candello, Justin D. Weisz
2023	—	`conf`	Rebalancing Worker Initiative and AI Initiative in Future Work: Four Task Dimensions. CHIWORK Jessica He, David Piorkowski, Michael J. Muller, Kristina Brimijoin, Stephanie Houde, Justin D. Weisz
2023	—	`conf`	The Programmer's Assistant User Experience. IUI Companion Steven I. Ross, Stephanie Houde, Fernando Martinez, Michael J. Muller, Justin D. Weisz
2023	A	`conf`	The Programmer's Assistant: Conversational Interaction with a Large Language Model for Software Development. IUI Steven I. Ross, Fernando Martinez, Stephanie Houde, Michael J. Muller, Justin D. Weisz
2023	J	`jnl`	The Programmer's Assistant: Conversational Interaction with a Large Language Model for Software Development. CoRR Steven I. Ross, Fernando Martinez, Stephanie Houde, Michael J. Muller, Justin D. Weisz
2023	—	`conf`	Toward General Design Principles for Generative AI Applications 130-144. IUI Workshops Justin D. Weisz, Michael J. Muller, Jessica He, Stephanie Houde
2023	J	`jnl`	Toward General Design Principles for Generative AI Applications. CoRR Justin D. Weisz, Michael J. Muller, Jessica He, Stephanie Houde
2023	—	`conf`	Understanding How Task Dimensions Impact Automation Preferences with a Conversational Task Assistant. AutomationXP@CHI Jessica He, David Piorkowski, Michael J. Muller, Kristina Brimijoin, Stephanie Houde, Justin D. Weisz
2022	A	`conf`	Better Together? An Evaluation of AI-Supported Code Translation. IUI Justin D. Weisz, Michael J. Muller, Steven I. Ross, Fernando Martinez, Stephanie Houde, Mayank Agarwal, Kartik Talamadupula, John T. Richards
2022	J	`jnl`	Better Together? An Evaluation of AI-Supported Code Translation. CoRR Justin D. Weisz, Michael J. Muller, Steven I. Ross, Fernando Martinez, Stephanie Houde, Mayank Agarwal, Kartik Talamadupula, John T. Richards
2022	J	`jnl`	Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks. ACM Trans. Comput. Hum. Interact. April Yi Wang, Dakuo Wang, Jaimie Drozdal, Michael J. Muller, Soya Park, Justin D. Weisz, Xuye Liu, Lingfei Wu, Casey Dugan
2022	—	`conf`	Drinking Chai with Your (AI) Programming Partner: A Design Fiction about Generative AI for Software Engineering 107-122. IUI Workshops Michael J. Muller, Steven I. Ross, Stephanie Houde, Mayank Agarwal, Fernando Martinez, John T. Richards, Kartik Talamadupula, Justin D. Weisz
2022	—	`conf`	Extending a Human-AI Collaboration Framework with Dynamism and Sociality. CHIWORK Michael J. Muller, Justin D. Weisz
2022	—	`conf`	HAI-GEN 2022: 3rd Workshop on Human-AI Co-Creation with Generative Models. IUI Companion Justin D. Weisz, Mary Lou Maher, Hendrik Strobelt, Lydia B. Chilton, David Bau, Werner Geyer
2022	A	`conf`	Investigating Explainability of Generative AI for Code through Scenario-based Design. IUI Jiao Sun, Q. Vera Liao, Michael J. Muller, Mayank Agarwal, Stephanie Houde, Kartik Talamadupula, Justin D. Weisz
2022	J	`jnl`	Investigating Explainability of Generative AI for Code through Scenario-based Design. CoRR Jiao Sun, Q. Vera Liao, Michael J. Muller, Mayank Agarwal, Stephanie Houde, Kartik Talamadupula, Justin D. Weisz
2022	—	`conf`	Opportunies for Generative AI in UX Modernization 81-91. IUI Workshops Stephanie Houde, Steven I. Ross, Michael J. Muller, Mayank Agarwal, Fernando Martinez, John T. Richards, Kartik Talamadupula, Justin D. Weisz
2021	A*	`conf`	AutoDS: Towards Human-Centered Automation of Data Science. CHI Dakuo Wang, Josh Andres, Justin D. Weisz, Erick Oduor, Casey Dugan
2021	J	`jnl`	AutoDS: Towards Human-Centered Automation of Data Science. CoRR Dakuo Wang, Josh Andres, Justin D. Weisz, Erick Oduor, Casey Dugan
2021	A*	`conf`	Expanding Explainability: Towards Social Transparency in AI systems. CHI Upol Ehsan, Q. Vera Liao, Michael J. Muller, Mark O. Riedl, Justin D. Weisz
2021	J	`jnl`	Expanding Explainability: Towards Social Transparency in AI systems. CoRR Upol Ehsan, Q. Vera Liao, Michael J. Muller, Mark O. Riedl, Justin D. Weisz
2021	—	`conf`	HAI-GEN 2021: 2nd Workshop on Human-AI Co-Creation with Generative Models. IUI Companion Werner Geyer, Lydia B. Chilton, Justin D. Weisz, Mary Lou Maher
2021	—	`conf`	How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks. IUI Workshops 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
2021	A	`conf`	Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML. IUI Shweta Narkar, Yunfeng Zhang, Q. Vera Liao, Dakuo Wang, Justin D. Weisz
2021	J	`jnl`	Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML. CoRR Shweta Narkar, Yunfeng Zhang, Q. Vera Liao, Dakuo Wang, Justin D. Weisz
2021	A	`conf`	Perfection Not Required? Human-AI Partnerships in Code Translation. IUI Justin D. Weisz, Michael J. Muller, Stephanie Houde, John T. Richards, Steven I. Ross, Fernando Martinez, Mayank Agarwal, Kartik Talamadupula
2021	J	`jnl`	Perfection Not Required? Human-AI Partnerships in Code Translation. CoRR Justin D. Weisz, Michael J. Muller, Stephanie Houde, John T. Richards, Steven I. Ross, Fernando Martinez, Mayank Agarwal, Kartik Talamadupula
2021	J	`jnl`	Themisto: Towards Automated Documentation Generation in Computational Notebooks. CoRR April Yi Wang, Dakuo Wang, Jaimie Drozdal, Michael J. Muller, Soya Park, Justin D. Weisz, Xuye Liu, Lingfei Wu, Casey Dugan
2021	J	`jnl`	Using Document Similarity Methods to create Parallel Datasets for Code Translation. CoRR Mayank Agarwal, Kartik Talamadupula, Fernando Martinez, Stephanie Houde, Michael J. Muller, John T. Richards, Steven I. Ross, Justin D. Weisz
2020	—	`conf`	AutoAI: Automating the End-to-End AI Lifecycle with Humans-in-the-Loop. IUI Companion 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
2020	A	`conf`	AutoAIViz: opening the blackbox of automated artificial intelligence with conditional parallel coordinates. IUI Daniel Karl I. Weidele, Justin D. Weisz, Erick Oduor, Michael J. Muller, Josh Andres, Alexander G. Gray, Dakuo Wang
2020	—	`conf`	Business (mis)Use Cases of Generative AI. HAI-GEN+user2agent@IUI Stephanie Houde, Vera Liao, Jacquelyn Martino, Michael J. Muller, David Piorkowski, John T. Richards, Justin D. Weisz, Yunfeng Zhang
2020	J	`jnl`	Business (mis)Use Cases of Generative AI. CoRR Stephanie Houde, Vera Liao, Jacquelyn Martino, Michael J. Muller, David Piorkowski, John T. Richards, Justin D. Weisz, Yunfeng Zhang
2020	—	`conf`	Cultivating Human Expertise Through AI-Assisted Data Science. DaSH@KDD 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
2020	J	`jnl`	Do's and Don'ts for Human and Digital Worker Integration. CoRR Vinod Muthusamy, Merve Unuvar, Hagen Völzer, Justin D. Weisz
2020	—	`conf`	IBM AutoAI: Human-in-the-Loop Automated Machine Learning Supports Data Scientists to Build Better Models. DaSH@KDD Dakuo Wang, Josh Andres, Justin D. Weisz, Erick Oduor, Udayan Khurana, Horst Samulowitz, Arunima Chaudhary, Abel N. Valente, Dustin Ramsey Torres, Casey Dugan
2020	J	`jnl`	Quality Estimation & Interpretability for Code Translation. CoRR Mayank Agarwal, Kartik Talamadupula, Stephanie Houde, Fernando Martinez, Michael J. Muller, John T. Richards, Steven I. Ross, Justin D. Weisz
2020	—	`conf`	The Next Decade of Data Science. DaSH@KDD Justin D. Weisz, Michael J. Muller
2020	J	`jnl`	Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems. CoRR Jaimie Drozdal, Justin D. Weisz, Dakuo Wang, Gaurav Dass, Bingsheng Yao, Changruo Zhao, Michael J. Muller, Lin Ju, Hui Su
2020	A	`conf`	Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems. IUI Jaimie Drozdal, Justin D. Weisz, Dakuo Wang, Gaurav Dass, Bingsheng Yao, Changruo Zhao, Michael J. Muller, Lin Ju, Hui Su
2019	J	`jnl`	AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates. CoRR Daniel Karl I. Weidele, Justin D. Weisz, Eno Oduor, Michael J. Muller, Josh Andres, Alexander G. Gray, Dakuo Wang
2019	A	`conf`	BigBlueBot: teaching strategies for successful human-agent interactions. IUI Justin D. Weisz, Mohit Jain, Narendra Nath Joshi, James Johnson, Ingrid Lange
2019	J	`jnl`	Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI. CoRR Dakuo Wang, Justin D. Weisz, Michael J. Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla R. Tausczik, Horst Samulowitz, Alexander G. Gray
2019	J	`jnl`	Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI. Proc. ACM Hum. Comput. Interact. Dakuo Wang, Justin D. Weisz, Michael J. Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla R. Tausczik, Horst Samulowitz, Alexander G. Gray
2019	J	`jnl`	In AI We Trust? Factors That Influence Trustworthiness of AI-infused Decision-Making Processes. CoRR Maryam Ashoori, Justin D. Weisz
2019	A*	`conf`	Resilient Chatbots: Repair Strategy Preferences for Conversational Breakdowns. CHI Zahra Ashktorab, Mohit Jain, Q. Vera Liao, Justin D. Weisz
2019	A*	`conf`	Thinking Too Classically: Research Topics in Human-Quantum Computer Interaction. CHI Zahra Ashktorab, Justin D. Weisz, Maryam Ashoori
2018	J	`jnl`	CardKit: A Card-Based Programming Framework for Drones. CoRR Saad Ismail, Justin Gregory Manweiler, Justin D. Weisz
2018	J	`jnl`	Designing for Democratization: Introducing Novices to Artificial Intelligence Via Maker Kits. CoRR Victor Dibia, Maryam Ashoori, Aaron Cox, Justin D. Weisz
2018	Misc	`conf`	Entanglion: A Board Game for Teaching the Principles of Quantum Computing. CHI PLAY Justin D. Weisz, Maryam Ashoori, Zahra Ashktorab
2018	—	`conf`	Privacy and Fear in the Drone Era: Preserving Privacy Expectations Through Technology. CHI Extended Abstracts Judith Odili Uchidiuno, Justin Manweiler, Justin D. Weisz
2017	—	`conf`	Factors that Help and Hinder a Daily Weighing and Reporting Behavior. CHI Extended Abstracts Catalina Danis, Katherine Vogt, Justin D. Weisz, Yu Ma, Russell Olsen
2017	—	`conf`	Integrating GLONASS with GPS for Drone Orientation Tracking. COMSNETS (Revised Selected Papers and Invited Papers) Mahanth Gowda, Justin Manweiler, Ashutosh Dhekne, Romit Roy Choudhury, Justin D. Weisz
2017	—	`conf`	TJBot: An Open Source DIY Cardboard Robot for Programming Cognitive Systems. CHI Extended Abstracts Victor C. Dibia, Maryam Ashoori, Aaron Cox, Justin D. Weisz
2016	—	`conf`	The Impending Ubiquity of Cognitive Objects. AAAI Workshop: Symbiotic Cognitive Systems Maryam Ashoori, Rachel K. E. Bellamy, Justin D. Weisz
2016	A*	`conf`	Tracking drone orientation with multiple GPS receivers. MobiCom Mahanth Gowda, Justin Manweiler, Ashutosh Dhekne, Romit Roy Choudhury, Justin D. Weisz
2016	J	`jnl`	Uncovering insider threats from the digital footprints of individuals. IBM J. Res. Dev. 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
2015	—	`conf`	Creating the Mood: Design for a Cognitive Meeting Room. CHI Extended Abstracts Maryam Ashoori, Rachel K. E. Bellamy, Justin D. Weisz
2014	—	`conf`	Dare to Compare: Motivating Expertise Building in the Enterprise through Intelligent User Modeling Interfaces. DUBMOD@CIKM Mercan Topkara, Justin D. Weisz, Shimei Pan, Jie Lu, Jennifer C. Lai
2014	A	`conf`	Expediting expertise: supporting informal social learning in the enterprise. IUI Jennifer C. Lai, Jie Lu, Shimei Pan, Danny Soroker, Mercan Topkara, Justin D. Weisz, Jeff Boston, Jason Crawford
2009	—	`ch.`	Online Video as a Social Activity. Social Interactive Television Justin D. Weisz
2008	—	`conf`	How text and audio chat change the online video experience. UXTV Justin D. Weisz, Sara B. Kiesler
2007	A*	`conf`	Watching together: integrating text chat with video. CHI Justin D. Weisz, Sara B. Kiesler, Hui Zhang, Yuqing Ren, Robert E. Kraut, Joseph A. Konstan
2006	A*	`conf`	Synchronous broadcast messaging: the use of ICT. CHI Justin D. Weisz, Thomas Erickson, Wendy A. Kellogg