Synchronous broadcast messaging: the use of ICT. - Justin D. Weisz; Thomas Erickson; Wendy A. Kellogg (CHI, 2006)

Watching together: integrating text chat with video. - Justin D. Weisz; Sara B. Kiesler; Hui Zhang 001; Yuqing Ren; Robert E. Kraut; Joseph A. Konstan (CHI, 2007)

How text and audio chat change the online video experience. - Justin D. Weisz; Sara B. Kiesler (UXTV, 2008)

Online Video as a Social Activity. - Justin D. Weisz (Social Interactive Television, 2009)

Dare to Compare: Motivating Expertise Building in the Enterprise through Intelligent User Modeling Interfaces. - Mercan Topkara; Justin D. Weisz; Shimei Pan; Jie Lu 002; Jennifer C. Lai (DUBMOD@CIKM, 2014)

Expediting expertise: supporting informal social learning in the enterprise. - Jennifer C. Lai; Jie Lu 002; Shimei Pan; Danny Soroker; Mercan Topkara; Justin D. Weisz; Jeff Boston; Jason Crawford (IUI, 2014)

Creating the Mood: Design for a Cognitive Meeting Room. - Maryam Ashoori; Rachel K. E. Bellamy; Justin D. Weisz (CHI Extended Abstracts, 2015)

The Impending Ubiquity of Cognitive Objects. - Maryam Ashoori; Rachel K. E. Bellamy; Justin D. Weisz (AAAI Workshop: Symbiotic Cognitive Systems, 2016)

Tracking drone orientation with multiple GPS receivers. - Mahanth Gowda; Justin Manweiler; Ashutosh Dhekne; Romit Roy Choudhury; Justin D. Weisz (MobiCom, 2016)

Uncovering insider threats from the digital footprints of individuals. - 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 002; Steve Wood; et al. (IBM J. Res. Dev., 2016)

Factors that Help and Hinder a Daily Weighing and Reporting Behavior. - Catalina Danis; Katherine Vogt; Justin D. Weisz; Yu Ma; Russell Olsen (CHI Extended Abstracts, 2017)

TJBot: An Open Source DIY Cardboard Robot for Programming Cognitive Systems. - Victor C. Dibia; Maryam Ashoori; Aaron Cox; Justin D. Weisz (CHI Extended Abstracts, 2017)

Integrating GLONASS with GPS for Drone Orientation Tracking. - Mahanth Gowda; Justin Manweiler; Ashutosh Dhekne; Romit Roy Choudhury; Justin D. Weisz (COMSNETS (Revised Selected Papers and Invited Papers), 2017)

Privacy and Fear in the Drone Era: Preserving Privacy Expectations Through Technology. - Judith Odili Uchidiuno; Justin Manweiler; Justin D. Weisz (CHI Extended Abstracts, 2018)

Entanglion: A Board Game for Teaching the Principles of Quantum Computing. - Justin D. Weisz; Maryam Ashoori; Zahra Ashktorab (CHI PLAY, 2018)

CardKit: A Card-Based Programming Framework for Drones. - Saad Ismail; Justin Gregory Manweiler; Justin D. Weisz (CoRR, 2018)

Designing for Democratization: Introducing Novices to Artificial Intelligence Via Maker Kits. - Victor Dibia; Maryam Ashoori; Aaron Cox; Justin D. Weisz (CoRR, 2018)

Resilient Chatbots: Repair Strategy Preferences for Conversational Breakdowns. - Zahra Ashktorab; Mohit Jain; Q. Vera Liao; Justin D. Weisz (CHI, 2019)

Thinking Too Classically: Research Topics in Human-Quantum Computer Interaction. - Zahra Ashktorab; Justin D. Weisz; Maryam Ashoori (CHI, 2019)

BigBlueBot: teaching strategies for successful human-agent interactions. - Justin D. Weisz; Mohit Jain; Narendra Nath Joshi; James Johnson; Ingrid Lange (IUI, 2019)

In AI We Trust? Factors That Influence Trustworthiness of AI-infused Decision-Making Processes. - Maryam Ashoori; Justin D. Weisz (CoRR, 2019)

AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates. - Daniel Karl I. Weidele; Justin D. Weisz; Eno Oduor; Michael J. Muller; Josh Andres; Alexander G. Gray; Dakuo Wang (CoRR, 2019)

Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI. - Dakuo Wang; Justin D. Weisz; Michael J. Muller; Parikshit Ram; Werner Geyer; Casey Dugan; Yla R. Tausczik; Horst Samulowitz; Alexander G. Gray (Proc. ACM Hum. Comput. Interact., 2019)

Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems. - Jaimie Drozdal; Justin D. Weisz; Dakuo Wang; Gaurav Dass; Bingsheng Yao; Changruo Zhao; Michael J. Muller; Lin Ju; Hui Su (IUI, 2020)

Business (mis)Use Cases of Generative AI. - Stephanie Houde; Vera Liao; Jacquelyn Martino; Michael J. Muller; David Piorkowski; John T. Richards; Justin D. Weisz; Yunfeng Zhang (HAI-GEN+user2agent@IUI, 2020)

AutoAI: Automating the End-to-End AI Lifecycle with Humans-in-the-Loop. - Dakuo Wang; Parikshit Ram; Daniel Karl I. Weidele; Sijia Liu 001; Michael J. Muller; Justin D. Weisz; Abel N. Valente; Arunima Chaudhary; Dustin Ramsey Torres; Horst Samulowitz; Lisa Amini (IUI Companion, 2020)

AutoAIViz: opening the blackbox of automated artificial intelligence with conditional parallel coordinates. - Daniel Karl I. Weidele; Justin D. Weisz; Erick Oduor; Michael J. Muller; Josh Andres; Alexander G. Gray; Dakuo Wang (IUI, 2020)

Cultivating Human Expertise Through AI-Assisted Data Science. - 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 (DaSH@KDD, 2020)

IBM AutoAI: Human-in-the-Loop Automated Machine Learning Supports Data Scientists to Build Better Models. - Dakuo Wang; Josh Andres; Justin D. Weisz; Erick Oduor; Udayan Khurana; Horst Samulowitz; Arunima Chaudhary; Abel N. Valente; Dustin Ramsey Torres; Casey Dugan (DaSH@KDD, 2020)

The Next Decade of Data Science. - Justin D. Weisz; Michael J. Muller (DaSH@KDD, 2020)

Do's and Don'ts for Human and Digital Worker Integration. - Vinod Muthusamy; Merve Unuvar; Hagen Völzer; Justin D. Weisz (CoRR, 2020)

Quality Estimation & Interpretability for Code Translation. - Mayank Agarwal; Kartik Talamadupula; Stephanie Houde; Fernando Martinez 001; Michael J. Muller; John T. Richards; Steven I. Ross; Justin D. Weisz (CoRR, 2020)

Expanding Explainability: Towards Social Transparency in AI systems. - Upol Ehsan; Q. Vera Liao; Michael J. Muller; Mark O. Riedl; Justin D. Weisz (CHI, 2021)

AutoDS: Towards Human-Centered Automation of Data Science. - Dakuo Wang; Josh Andres; Justin D. Weisz; Erick Oduor; Casey Dugan (CHI, 2021)

HAI-GEN 2021: 2nd Workshop on Human-AI Co-Creation with Generative Models. - Werner Geyer; Lydia B. Chilton; Justin D. Weisz; Mary Lou Maher (IUI Companion, 2021)

How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks. - Michael J. Muller; April Yi Wang; Steven I. Ross; Justin D. Weisz; Mayank Agarwal; Kartik Talamadupula; Stephanie Houde; Fernando Martinez 001; John T. Richards; Jaimie Drozdal; Xuye Liu; David Piorkowski; et al. (IUI Workshops, 2021)

Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML. - Shweta Narkar; Yunfeng Zhang; Q. Vera Liao; Dakuo Wang; Justin D. Weisz (IUI, 2021)

Perfection Not Required? Human-AI Partnerships in Code Translation. - Justin D. Weisz; Michael J. Muller; Stephanie Houde; John T. Richards; Steven I. Ross; Fernando Martinez 001; Mayank Agarwal; Kartik Talamadupula (IUI, 2021)

Themisto: Towards Automated Documentation Generation in Computational Notebooks. - April Yi Wang; Dakuo Wang; Jaimie Drozdal; Michael J. Muller; Soya Park; Justin D. Weisz; Xuye Liu; Lingfei Wu 001; Casey Dugan (CoRR, 2021)

Using Document Similarity Methods to create Parallel Datasets for Code Translation. - Mayank Agarwal; Kartik Talamadupula; Fernando Martinez 001; Stephanie Houde; Michael J. Muller; John T. Richards; Steven I. Ross; Justin D. Weisz (CoRR, 2021)

Extending a Human-AI Collaboration Framework with Dynamism and Sociality. - Michael J. Muller; Justin D. Weisz (CHIWORK, 2022)

Opportunies for Generative AI in UX Modernization 81-91. - Stephanie Houde; Steven I. Ross; Michael J. Muller; Mayank Agarwal; Fernando Martinez 001; John T. Richards; Kartik Talamadupula; Justin D. Weisz (IUI Workshops, 2022)

Drinking Chai with Your (AI) Programming Partner: A Design Fiction about Generative AI for Software Engineering 107-122. - Michael J. Muller; Steven I. Ross; Stephanie Houde; Mayank Agarwal; Fernando Martinez 001; John T. Richards; Kartik Talamadupula; Justin D. Weisz (IUI Workshops, 2022)

Investigating Explainability of Generative AI for Code through Scenario-based Design. - Jiao Sun; Q. Vera Liao; Michael J. Muller; Mayank Agarwal; Stephanie Houde; Kartik Talamadupula; Justin D. Weisz (IUI, 2022)

Better Together? An Evaluation of AI-Supported Code Translation. - Justin D. Weisz; Michael J. Muller; Steven I. Ross; Fernando Martinez 001; Stephanie Houde; Mayank Agarwal; Kartik Talamadupula; John T. Richards (IUI, 2022)

HAI-GEN 2022: 3rd Workshop on Human-AI Co-Creation with Generative Models. - Justin D. Weisz; Mary Lou Maher; Hendrik Strobelt; Lydia B. Chilton; David Bau; Werner Geyer (IUI Companion, 2022)

Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks. - April Yi Wang; Dakuo Wang; Jaimie Drozdal; Michael J. Muller; Soya Park; Justin D. Weisz; Xuye Liu; Lingfei Wu 001; Casey Dugan (ACM Trans. Comput. Hum. Interact., 2022)

Human-Centered Explainable AI (HCXAI): Coming of Age. - Upol Ehsan; Philipp Wintersberger; Elizabeth Anne Watkins; Carina Manger; Gonzalo A. Ramos; Justin D. Weisz; Hal Daumé III; Andreas Riener; Mark O. Riedl (CHI Extended Abstracts, 2023)

Understanding How Task Dimensions Impact Automation Preferences with a Conversational Task Assistant. - Jessica He; David Piorkowski; Michael J. Muller; Kristina Brimijoin; Stephanie Houde; Justin D. Weisz (AutomationXP@CHI, 2023)

Rebalancing Worker Initiative and AI Initiative in Future Work: Four Task Dimensions. - Jessica He; David Piorkowski; Michael J. Muller; Kristina Brimijoin; Stephanie Houde; Justin D. Weisz (CHIWORK, 2023)

Interactional Co-Creativity of Human and AI in Analogy-Based Design. - Michael J. Muller; Heloisa Candello; Justin D. Weisz (ICCC, 2023)

HAI-GEN 2023: 4th Workshop on Human-AI Co-Creation with Generative Models. - Mary Lou Maher; Justin D. Weisz; Lydia B. Chilton; Werner Geyer; Hendrik Strobelt (IUI Companion, 2023)

The Programmer's Assistant User Experience. - Steven I. Ross; Stephanie Houde; Fernando Martinez 001; Michael J. Muller; Justin D. Weisz (IUI Companion, 2023)

The Programmer's Assistant: Conversational Interaction with a Large Language Model for Software Development. - Steven I. Ross; Fernando Martinez 001; Stephanie Houde; Michael J. Muller; Justin D. Weisz (IUI, 2023)

A Case Study in Engineering a Conversational Programming Assistant's Persona 121-129. - Steven I. Ross; Michael J. Muller; Fernando Martinez 001; Stephanie Houde; Justin D. Weisz (IUI Workshops, 2023)

Toward General Design Principles for Generative AI Applications 130-144. - Justin D. Weisz; Michael J. Muller; Jessica He; Stephanie Houde (IUI Workshops, 2023)

Toward General Design Principles for Generative AI Applications. - Justin D. Weisz; Michael J. Muller; Jessica He; Stephanie Houde (CoRR, 2023)

A Case Study in Engineering a Conversational Programming Assistant's Persona. - Steven I. Ross; Michael J. Muller; Fernando Martinez 001; Stephanie Houde; Justin D. Weisz (CoRR, 2023)

Theory of Mind in Human-AI Interaction. - Qiaosi Wang; Sarah Walsh; Mei Si; Jeffrey Kephart; Justin D. Weisz; Ashok K. Goel 001 (CHI Extended Abstracts, 2024)

Design Principles for Generative AI Applications. - Justin D. Weisz; Jessica He; Michael J. Muller; Gabriela Hoefer; Rachel Miles; Werner Geyer (CHI, 2024)

AI and the Future of Collaborative Work: Group Ideation with an LLM in a Virtual Canvas. - Jessica He; Stephanie Houde; Gabriel Enrique Gonzalez; Darío Andrés Silva Moran; Steven I. Ross; Michael J. Muller; Justin D. Weisz (CHIWORK, 2024)

Drinking Chai with Your (AI) Programming Partner: Value Tensions in the Tokenization of Future Human-AI Collaborative Work. - Michael J. Muller; Justin D. Weisz; Stephanie Houde; Steven I. Ross (CHIWORK, 2024)

Group Brainstorming with an AI Agent: Creating and Selecting Ideas. - Michael J. Muller; Stephanie Houde; Gabriel Enrique Gonzalez; Kristina Brimijoin; Steven I. Ross; Darío Andrés Silva Moran; Justin D. Weisz (ICCC, 2024)

HAI-GEN 2024: 5th Workshop on Human-AI Co-Creation with Generative Models. - Werner Geyer; Mary Lou Maher; Justin D. Weisz; Daniel Buschek; Lydia B. Chilton (IUI Companion, 2024)

Collaborative Canvas: A Tool for Exploring LLM Use in Group Ideation Tasks. - Gabriel Enrique Gonzalez; Darío Andrés Silva Moran; Stephanie Houde; Jessica He; Steven I. Ross; Michael J. Muller; Siya Kunde; Justin D. Weisz (IUI Workshops, 2024)

Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions. - Hyo Jin Do; Rachel Ostrand; Justin D. Weisz; Casey Dugan; Prasanna Sattigeri; Dennis Wei; Keerthiram Murugesan; Werner Geyer (CoRR, 2024)

Expedient Assistance and Consequential Misunderstanding: Envisioning an Operationalized Mutual Theory of Mind. - Justin D. Weisz; Michael J. Muller; Arielle Goldberg; Darío Andrés Silva Moran (CoRR, 2024)

Can Large Language Models Adapt to Other Agents In-Context? - Matthew Riemer; Zahra Ashktorab; Djallel Bouneffouf 001; Payel Das; Miao Liu 001; Justin D. Weisz; Murray Campbell (CoRR, 2024)

Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents. - Ivoline C. Ngong; Swanand Ravindra Kadhe; Hao Wang 063; Keerthiram Murugesan; Justin D. Weisz; Amit Dhurandhar; Karthikeyan Natesan Ramamurthy (ACL (Findings), 2025)

New Frontiers of Human-centered Explainable AI (HCXAI): Participatory Civic AI, Benchmarking LLMs, XAI Hallucinations, and Responsible AI Audits. - Upol Ehsan; Elizabeth Anne Watkins; Philipp Wintersberger; Carina Manger; Nina Hubig; Saiph Savage; Justin D. Weisz; Andreas Riener (CHI Extended Abstracts, 2025)

Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation. - Jessica He; Stephanie Houde; Justin D. Weisz (CHI, 2025)

Examining the Use and Impact of an AI Code Assistant on Developer Productivity and Experience in the Enterprise. - Justin D. Weisz; Shraddha Vijay Kumar; Michael J. Muller; Karen-Ellen Browne; Arielle Goldberg; Katrin Ellice Heintze; Shagun Bajpai (CHI Extended Abstracts, 2025)

Exploration and Optimization of Generative Variability in Future Work: A Mixed-Initiative Analysis. - Michael J. Muller; Jessica He; Justin D. Weisz (CHIWORK, 2025)

ToMinHAI at CUI'2025: Theory of Mind in Human-CUI Interaction. - Qiaosi Wang; Joel Wester; Marvin Pafla; Minha Lee; Justin D. Weisz; Mei Si (CUI, 2025)

Controlling AI Agent Participation in Group Conversations: A Human-Centered Approach. - 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 (IUI, 2025)

HAI-GEN 2025: 6th Workshop on Human-AI Co-Creation with Generative Models. - Osnat Mokryn; Orit Shaer; Werner Geyer; Mary Lou Maher; Justin D. Weisz; Daniel Buschek; Lydia B. Chilton (IUI Companion, 2025)

ACE: Moving toward Co-Investigation with the Agentic Code Explorer. - Darío Andrés Silva Moran; Kristina Brimijoin; Gabriel Enrique Gonzalez; Stephanie Houde; Michael J. Muller; Michelle Brachman; Justin D. Weisz (IUI Workshops, 2025)

Towards Personalized and Contextualized Code Explanations. - Michelle Brachman; Arielle Goldberg; Andrew Anderson 002; Stephanie Houde; Michael J. Muller; Justin D. Weisz (UMAP (Adjunct Publication), 2025)

Scopes of Alignment. - Kush R. Varshney; Zahra Ashktorab; Djallel Bouneffouf 001; Matthew Riemer; Justin D. Weisz (CoRR, 2025)

An LLM's Attempts to Adapt to Diverse Software Engineers' Problem-Solving Styles: More Inclusive & Equitable? - Andrew Anderson 002; David Piorkowski; Margaret Burnett; Justin D. Weisz (CoRR, 2025)

Highlight All the Phrases: Enhancing LLM Transparency through Visual Factuality Indicators. - Hyo Jin Do; Rachel Ostrand; Werner Geyer; Keerthiram Murugesan; Dennis Wei; Justin D. Weisz (CoRR, 2025)