Stephanie Houde

According to our database, Stephanie Houde authored at least 38 papers between 1992 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Collaborative Canvas: A Tool for Exploring LLM Use in Group Ideation Tasks.

Gabriel Enrique Gonzalez, Dario Andres Silva Moran, Stephanie Houde, Jessica He, Steven I. Ross, Michael J. Muller, Siya Kunde, Justin D. Weisz

Proceedings of the Joint Proceedings of the ACM IUI 2024 Workshops co-located with the 29th Annual ACM Conference on Intelligent User Interfaces (IUI 2024), 2024

2023

A Case Study in Engineering a Conversational Programming Assistant's Persona.

Steven I. Ross, Michael J. Muller, Fernando Martinez, Stephanie Houde, Justin D. Weisz

CoRR, 2023

Toward General Design Principles for Generative AI Applications.

Justin D. Weisz, Michael J. Muller, Jessica He, Stephanie Houde

CoRR, 2023

Toward General Design Principles for Generative AI Applications 130-144.

Justin D. Weisz, Michael J. Muller, Jessica He, Stephanie Houde

Proceedings of the Joint Proceedings of the IUI 2023 Workshops: HAI-GEN, 2023

A Case Study in Engineering a Conversational Programming Assistant's Persona 121-129.

Steven I. Ross, Michael J. Muller, Fernando Martinez, Stephanie Houde, Justin D. Weisz

Proceedings of the Joint Proceedings of the IUI 2023 Workshops: HAI-GEN, 2023

The Programmer's Assistant: Conversational Interaction with a Large Language Model for Software Development.

Steven I. Ross, Fernando Martinez, Stephanie Houde, Michael J. Muller, Justin D. Weisz

Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

The Programmer's Assistant User Experience.

Steven I. Ross, Stephanie Houde, Fernando Martinez, Michael J. Muller, Justin D. Weisz

Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 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

Proceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work, 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

Proceedings of the Workshop on Intervening, 2023

2022

Better Together? An Evaluation of AI-Supported Code Translation.

Justin D. Weisz, Michael J. Muller, Steven I. Ross, Fernando Martinez, Stephanie Houde, Mayank Agarwal, Kartik Talamadupula, John T. Richards

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 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

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 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, John T. Richards, Kartik Talamadupula, Justin D. Weisz

Proceedings of the Joint Proceedings of the IUI 2022 Workshops: APEx-UI, 2022

Opportunies for Generative AI in UX Modernization 81-91.

Stephanie Houde, Steven I. Ross, Michael J. Muller, Mayank Agarwal, Fernando Martinez, John T. Richards, Kartik Talamadupula, Justin D. Weisz

Proceedings of the Joint Proceedings of the IUI 2022 Workshops: APEx-UI, 2022

AI Explainability 360: Impact and Design.

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Human-Centered Methodology for Creating AI FactSheets.

John T. Richards, David Piorkowski, Michael Hind, Stephanie Houde, Aleksandra Mojsilovic, Kush R. Varshney

IEEE Data Eng. Bull., 2021

Using Document Similarity Methods to create Parallel Datasets for Code Translation.

Mayank Agarwal, Kartik Talamadupula, Fernando Martinez, Stephanie Houde, Michael J. Muller, John T. Richards, Steven I. Ross, Justin D. Weisz

CoRR, 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, Mayank Agarwal, Kartik Talamadupula

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 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, John T. Richards, Jaimie Drozdal, Xuye Liu, David Piorkowski, Dakuo Wang

Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 2021

AI Explainability 360 Toolkit.

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

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

2020

AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models.

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

J. Mach. Learn. Res., 2020

Quality Estimation & Interpretability for Code Translation.

Mayank Agarwal, Kartik Talamadupula, Stephanie Houde, Fernando Martinez, Michael J. Muller, John T. Richards, Steven I. Ross, Justin D. Weisz

CoRR, 2020

Towards evaluating and eliciting high-quality documentation for intelligent systems.

David Piorkowski, Daniel González, John T. Richards, Stephanie Houde

CoRR, 2020

A Methodology for Creating AI FactSheets.

John T. Richards, David Piorkowski, Michael Hind, Stephanie Houde, Aleksandra Mojsilovic

CoRR, 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

Proceedings of the Joint Proceedings of the Workshops on Human-AI Co-Creation with Generative Models and User-Aware Conversational Agents co-located with 25th International Conference on Intelligent User Interfaces (IUI 2020), 2020

AI explainability 360: hands-on tutorial.

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

Proceedings of the FAT* '20: Conference on Fairness, 2020

Experiences with Improving the Transparency of AI Models and Services.

Michael Hind, Stephanie Houde, Jacquelyn Martino, Aleksandra Mojsilovic, David Piorkowski, John T. Richards, Kush R. Varshney

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019

Think Your Artificial Intelligence Software Is Fair? Think Again.

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

IEEE Softw., 2019

AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias.

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

IBM J. Res. Dev., 2019

FactSheets: Increasing trust in AI services through supplier's declarations of conformity.

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

IBM J. Res. Dev., 2019

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques.

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

CoRR, 2019

2018

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias.

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

CoRR, 2018

1998

In search of design principles for tools and practices to support communication within a learning community.

Stephanie Houde, Rachel K. E. Bellamy, Laureen Leahy

ACM SIGCHI Bull., 1998

Developing a community intranet: social practices and technology interventions.

Rachel K. E. Bellamy, Eileen Genevro, Stephanie Houde, Lori Leahy, Gary Young

Proceedings of the CHI 98 Conference Summary on Human Factors in Computing Systems, 1998

1995

User Interfaces Challenges of Media Design (Panel Abstract).

Penny Bauersfeld, Michael Arent, Avril Hodges, Stephanie Houde, Elisabeth Waymire

Proceedings of the Third ACM International Conference on Multimedia '95, 1995

Creative prototyping tools: what interaction designers really need to produce advanced user interface concepts.

Manfred Tscheligi, Stephanie Houde, Raghu Kolli, Aaron Marcus, Michael J. Muller, Kevin E. Mullet

Proceedings of the Human Factors in Computing Systems, 1995

1994

In search of design principles for programming environments.

Stephanie Houde, Royston Sellman

Proceedings of the Conference on Human Factors in Computing Systems, 1994

1993

Working towards rich and flexible file representations.

Stephanie Houde, Gitta Salomon

Proceedings of the Human-Computer Interaction, 1993

1992

Iterative Design of an Interface for Easy 3-D Direct Manipulation.

Stephanie Houde

Proceedings of the Conference on Human Factors in Computing Systems, 1992