Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3613905.3636318acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
extended-abstract

Human-Notebook Interactions: The CHI of Computational Notebooks

Published: 11 May 2024 Publication History

Abstract

The overall goal of this workshop is to bring together researchers from across the CHI community to share their knowledge and build collaborations at the intersection of computational notebook and HCI research, focusing on both the effective design and effective use of interfaces and interactions within computational notebook environments. This includes innovating upon the computational notebook metaphor, designing new tools, interfaces, and interactions for use with computational notebooks, and more. We aim to pull expertise from across all fields of CHI to deliver novel research and generate open discussion about the current state of computational notebooks, how it can be improved from an HCI standpoint, and how these potential improvements can direct future research. To achieve this goal, we propose a full-day, hybrid workshop with discussions of challenges and opportunities, paper and demo presentations, lightning talks, and a keynote. Participants in this workshop will exchange ideas and help define a roadmap for future research at the intersection of HCI and computational notebook design.

References

[1]
Souti Chattopadhyay, Ishita Prasad, Austin Z Henley, Anita Sarma, and Titus Barik. 2020. What’s Wrong with Computational Notebooks? Pain Points, Needs, and Design Opportunities. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1–12.
[2]
Rebecca Faust, Carlos Scheidegger, Katherine Isaacs, William Z Bernstein, Michael Sharp, and Chris North. 2022. Interactive Visualization for Data Science Scripts. In 2022 IEEE Visualization in Data Science (VDS). IEEE, 37–45.
[3]
Jesse Harden, Elizabeth Christman, Nurit Kirshenbaum, John Wenskovitch, Jason Leigh, and Chris North. 2022. Exploring Organization of Computational Notebook Cells in 2D Space. In 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). IEEE, 1–6.
[4]
Andrew Head, Fred Hohman, Titus Barik, Steven M Drucker, and Robert DeLine. 2019. Managing messes in computational notebooks. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1–12.
[5]
Mary Beth Kery and Brad A Myers. 2018. Interactions for untangling messy history in a computational notebook. In 2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). IEEE, 147–155.
[6]
Mary Beth Kery, Marissa Radensky, Mahima Arya, Bonnie E John, and Brad A Myers. 2018. The story in the notebook: Exploratory data science using a literate programming tool. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. 1–11.
[7]
Mary Beth Kery, Donghao Ren, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, and Kayur Patel. 2020. mage: Fluid moves between code and graphical work in computational notebooks. In Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology. 140–151.
[8]
Donald Ervin Knuth. 1984. Literate programming. The computer journal 27, 2 (1984), 97–111.
[9]
Xingjun Li, Yuanxin Wang, Hong Wang, Yang Wang, and Jian Zhao. 2021. Nbsearch: Semantic search and visual exploration of computational notebooks. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–14.
[10]
Xingjun Li, Yizhi Zhang, Justin Leung, Chengnian Sun, and Jian Zhao. 2022. EDAssistant: Supporting Exploratory Data Analysis in Computational Notebooks with In-Situ Code Search and Recommendation. ACM Transactions on Interactive Intelligent Systems (TiiS) (2022).
[11]
Jorge Piazentin Ono, Juliana Freire, and Claudio T Silva. 2021. Interactive data visualization in jupyter notebooks. Computing in Science & Engineering 23, 2 (2021), 99–106.
[12]
Fernando Perez and Brian E Granger. 2015. Project Jupyter: Computational narratives as the engine of collaborative data science. Retrieved September 11, 207 (2015), 108.
[13]
Jeffrey M Perkel. 2018. Why Jupyter is data scientists’ computational notebook of choice. Nature 563, 7732 (2018), 145–147.
[14]
Adam Rule, Aurélien Tabard, and James D Hollan. 2018. Exploration and explanation in computational notebooks. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. 1–12.
[15]
Jeremy Singer. 2020. Notes on notebooks: Is Jupyter the bringer of jollity?. In Proceedings of the 2020 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software. 180–186.
[16]
Nathaniel Weinman, Steven M Drucker, Titus Barik, and Robert DeLine. 2021. Fork It: Supporting Stateful Alternatives in Computational Notebooks. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–12.
[17]
John Wenskovitch, Jian Zhao, Scott Carter, Matthew Cooper, and Chris North. 2019. Albireo: An interactive tool for visually summarizing computational notebook structure. In 2019 IEEE Visualization in Data Science (VDS). IEEE, 1–10.
[18]
Yifan Wu, Joseph M Hellerstein, and Arvind Satyanarayan. 2020. B2: Bridging code and interactive visualization in computational notebooks. In Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology. 152–165.

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
CHI EA '24: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
May 2024
4761 pages
ISBN:9798400703317
DOI:10.1145/3613905
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 May 2024

Check for updates

Author Tags

  1. Computational Narratives
  2. Computational Notebooks
  3. Data Analysis
  4. Data Science
  5. Human-Computer Interaction
  6. Interaction Design
  7. Interface Design

Qualifiers

  • Extended-abstract
  • Research
  • Refereed limited

Funding Sources

Conference

CHI '24

Acceptance Rates

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

Upcoming Conference

CHI '25
CHI Conference on Human Factors in Computing Systems
April 26 - May 1, 2025
Yokohama , Japan

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 337
    Total Downloads
  • Downloads (Last 12 months)337
  • Downloads (Last 6 weeks)53
Reflects downloads up to 20 Nov 2024

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Full Text

View this article in Full Text.

Full Text

HTML Format

View this article in HTML Format.

HTML Format

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media