VL/HCC 2022
Mon 12 - Fri 16 September 2022 Rome, Italy
Thu 15 Sep 2022 10:30 - 15:30 at Corridor of San Francesco Room - Poster Presentation

While pair programming conversational agents have the potential to change the current landscape of programming, they require vast amounts of diverse data to train. However, due to gender gaps in the Computer Science field, it is difficult to obtain data involving women in pair programming scenarios; this may result in a bias in a future agent. Furthermore, previous research has highlighted differences between men and women in problem solving, communication, creativity, and leadership styles, which are critical for the success of pair collaboration. Therefore, it is crucial to understand how the agent’s performance is affected by the gender composition of training datasets. Using the transformer-based language model BERT, we created a natural language understanding (NLU) model for our future agent, and tested its intent classification performance when alternately trained and tested on datasets composed entirely of either men or women. We found that the model’s performance was significantly higher when trained and tested on men datasets, indicating the presence of gender bias within the NLU model of a future agent.

Thu 15 Sep

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

10:30 - 15:30
Poster PresentationPosters and Showpieces / Graduate Consortium at Corridor of San Francesco Room

Authors will attend only during breaks.

10:30
5h
Poster
Making the Invisible Visible in Computational NotebooksPoster
Posters and Showpieces
Mauricio Verano Merino Vrije Universiteit Amsterdam, L. Thomas van Binsbergen University of Amsterdam, Mazyar Seraj Eindhoven University of Technology
DOI
10:30
5h
Poster
A technique to improve text editing on smartphonesPoster
Posters and Showpieces
Maria Giovanna Albanese Dipartimento di Informatica, Università di Salerno, Gennaro Costagliola Università di Salerno, Mattia De Rosa University of Salerno, Vittorio Fuccella University of Salerno
DOI
10:30
5h
Poster
Chaldene: Towards Visual Programming Image Processing in Jupyter NotebooksPoster
Posters and Showpieces
Fei Chen , Philipp Slusallek German Research Center for Artificial Intelligence, Saarland University, Martin Muller Saarland University, Tim Dahmen German Research Center for Artificial Intelligence
DOI
10:30
5h
Poster
Feasibility of using YouTube Conversations for Pair Programming Intent ClassificationPoster
Posters and Showpieces
Jacob Hart University of Tulsa, Jake AuBuchon University of Tulsa, Sandeep Kuttal The University of Tulsa
DOI
10:30
5h
Poster
Evaluating Gender Bias in Pair Programming Conversations with an AgentPoster
Posters and Showpieces
Alex McAuliffe The University of Tulsa, Jacob Hart University of Tulsa, Sandeep Kuttal The University of Tulsa
DOI
10:30
5h
Poster
Estimating Foraging Values and Costs in Stack OverflowPoster
Posters and Showpieces
Abim Sedhain The University of Tulsa, Sruti Srinivasa Ragavan Microsoft Research; School of EECS, Oregon State University, Brett McKinney The University of Tulsa, Sandeep Kuttal The University of Tulsa
DOI
10:30
5h
Poster
Information Seeking Behavior for Bugs on GitHub: An Information Foraging PerspectivePoster
Posters and Showpieces
Abim Sedhain The University of Tulsa, Sandeep Kuttal The University of Tulsa
DOI
10:30
5h
Poster
Developers’ Foraging Behavior on Stack OverflowPoster
Posters and Showpieces
Vaishvi Diwanji The University of Tulsa, Abim Sedhain The University of Tulsa, Grey Bodi The University of Tulsa, Sandeep Kuttal The University of Tulsa
DOI
10:30
5h
Poster
Which Technologies are Most Frequently Used by Data Scientists?Poster
Posters and Showpieces
Paula Pereira University of Minho, João Paulo Fernandes LIACC, Universidade do Porto, Porto, Portugal, Jácome Cunha University of Porto
DOI
10:30
5h
Tools for Creating UI Automation MacrosGC Poster
Graduate Consortium
Rebecca Krosnick University of Michigan
DOI