Stephanie Houde

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 42

Top Topics

Intelligent Systems

Design Principles

Top Venues

Publications

David Piorkowski, Rachel Ostrand, Kristina Brimijoin, Jessica He, Erica Albert, Stephanie Houde
Towards Interactive Guidance for Writing Training Utterances for Conversational Agents. CUI (2024)
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)
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)
Rachel Ostrand, Kristina Brimijoin, David Piorkowski, Jessica He, Erica Albert, Stephanie Houde
Say What? Real-time Linguistic Guidance Supports Novices in Writing Utterances for Conversational Agent Training. CUI (2024)
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)
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)
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 (2023)
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)
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 (2023)
Justin D. Weisz, Michael J. Muller, Jessica He, Stephanie Houde
Toward General Design Principles for Generative AI Applications. CoRR (2023)
Steven I. Ross, Stephanie Houde, Fernando Martinez, Michael J. Muller, Justin D. Weisz
The Programmer's Assistant User Experience. IUI Companion (2023)
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)
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)
Justin D. Weisz, Michael J. Muller, Jessica He, Stephanie Houde
Toward General Design Principles for Generative AI Applications 130-144. IUI Workshops (2023)
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)
Stephanie Houde, Steven I. Ross, Michael 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)
Michael 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)
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 (2022)
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
AI Explainability 360: Impact and Design. AAAI (2022)
Justin D. Weisz, Michael 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)
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 (2022)
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
AI Explainability 360 Toolkit. COMAD/CODS (2021)
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 (2021)
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)
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 (2021)
John T. Richards, David Piorkowski, Michael Hind, Stephanie Houde, Aleksandra Mojsilovic, Kush R. Varshney
A Human-Centered Methodology for Creating AI FactSheets. IEEE Data Eng. Bull. 44 (4) (2021)
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
AI Explainability 360: Impact and Design. CoRR (2021)
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)
David Piorkowski, Daniel González, John T. Richards, Stephanie Houde
Towards evaluating and eliciting high-quality documentation for intelligent systems. CoRR (2020)
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models. J. Mach. Learn. Res. 21 (2020)
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
AI explainability 360: hands-on tutorial. FAT* (2020)
John T. Richards, David Piorkowski, Michael Hind, Stephanie Houde, Aleksandra Mojsilovic
A Methodology for Creating AI FactSheets. CoRR (2020)
Michael Hind, Stephanie Houde, Jacquelyn Martino, Aleksandra Mojsilovic, David Piorkowski, John T. Richards, Kush R. Varshney
Experiences with Improving the Transparency of AI Models and Services. CHI Extended Abstracts (2020)
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)
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 (2020)
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 (2020)
Michael Hind, Stephanie Houde, Jacquelyn Martino, Aleksandra Mojsilovic, David Piorkowski, John T. Richards, Kush R. Varshney
Experiences with Improving the Transparency of AI Models and Services. CoRR (2019)
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang
Think Your Artificial Intelligence Software Is Fair? Think Again. IEEE Softw. 36 (4) (2019)
Matthew Arnold, Rachel K. E. Bellamy, Michael Hind, Stephanie Houde, Sameep Mehta, Aleksandra Mojsilovic, Ravi Nair, Karthikeyan Natesan Ramamurthy, Alexandra Olteanu, David Piorkowski, Darrell Reimer, John T. Richards, Jason Tsay, Kush R. Varshney
FactSheets: Increasing trust in AI services through supplier's declarations of conformity. IBM J. Res. Dev. 63 (4/5) (2019)
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias. IBM J. Res. Dev. 63 (4/5) (2019)
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques. CoRR (2019)
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias. CoRR (2018)
Stephanie Houde, Rachel K. E. Bellamy, Laureen Leahy
In search of design principles for tools and practices to support communication within a learning community. ACM SIGCHI Bull. 30 (2) (1998)
Rachel K. E. Bellamy, Eileen Genevro, Stephanie Houde, Lori Leahy, Gary Young
Developing a community intranet: social practices and technology interventions. CHI Conference Summary (1998)
Penny Bauersfeld, Michael Arent, Avril Hodges, Stephanie Houde, Elisabeth Waymire
User Interfaces Challenges of Media Design (Panel Abstract). ACM Multimedia (1995)
Manfred Tscheligi, Stephanie Houde, Raghu Kolli, Aaron Marcus, Michael J. Muller, Kevin E. Mullet
Creative prototyping tools: what interaction designers really need to produce advanced user interface concepts. CHI 95 Conference Companion (1995)
Stephanie Houde, Royston Sellman
In search of design principles for programming environments. CHI Conference Companion (1994)
Stephanie Houde, Royston Sellman
In search of design principles for programming environments. CHI (1994)
Stephanie Houde, Gitta Salomon
Working towards rich and flexible file representations. INTERCHI Adjunct Proceedings (1993)
Stephanie Houde
Iterative Design of an Interface for Easy 3-D Direct Manipulation. CHI (1992)