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abstract

The Future of Notebook Programming Is Fluid

Authors:

Mary Beth Kery,

Kanit Wongsuphasawat,

Kayur PatelAuthors Info & Claims

CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

Pages 1 - 8

https://doi.org/10.1145/3334480.3383085

Published: 25 April 2020 Publication History

Abstract

A new kind of widget has begun appearing in the data science notebook programming community that can fluidly switch its own appearance between two representations: a graphical user interface (GUI) tool and plain textual code. Data scientists of all expertise levels routinely work in both visual GUIs (data visualizations or spreadsheets) and plaintext code (numerical, data manipulation, or machine learning libraries). These work tools have typically been separate. Here, we argue for the unique role and potential of fluid GUI/text programming to serve data work practices. We contribute a generalized method and API for robust fluid GUI/text coding in notebooks that addresses key questions in code generation and user interactions. Finally, we demonstrate the potential of our method in two notebook tool examples and a usability study with professional data science and machine learning practitioners.

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Cited By

Weber TWiniker CMayer S(2024)An Investigation of How Software Developers Read Machine Learning CodeProceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement10.1145/3674805.3686678(165-176)Online publication date: 24-Oct-2024
https://dl.acm.org/doi/10.1145/3674805.3686678
Weber TMayer S(2024)Usability and Adoption of Graphical Tools for Data-Driven DevelopmentProceedings of Mensch und Computer 202410.1145/3670653.3670658(231-241)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1145/3670653.3670658
Weber TEhe JMayer S(2024)Extending Jupyter with Multi-Paradigm EditorsProceedings of the ACM on Human-Computer Interaction10.1145/36602478:EICS(1-22)Online publication date: 17-Jun-2024
https://dl.acm.org/doi/10.1145/3660247
Show More Cited By

Index Terms

The Future of Notebook Programming Is Fluid
1. Human-centered computing
  1. Human computer interaction (HCI)

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Information & Contributors

Information

Published In

cover image ACM Conferences

CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

April 2020

4474 pages

ISBN:9781450368193

DOI:10.1145/3334480

General Chairs:
Regina Bernhaupt
Eindhoven University of Technology, Netherlands
,
Florian 'Floyd' Mueller
Monash University, Australia
,
David Verweij
Newcastle University, UK
,
Josh Andres
RMIT, Australia
,
Program Chairs:
Joanna McGrenere
University of British Columbia, Canada
,
Andy Cockburn
University of Canterbury, New Zealand
,
Ignacio Avellino
University of Maryland Baltimore County, USA
,
Alix Goguey
Grenoble Alpes University, France
,
Pernille Bjørn
University of Copenhagen, Denmark
,
Shengdong (Shen) Zhao
National University of Singapore, Singapore
,
Briane Paul Samson
Future University Hakodate, Japan & De La Salle University, Philippines
,
Rafal Kocielnik
University of Washington, USA

Copyright © 2020 Owner/Author.

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.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 April 2020

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CHI '20

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SIGCHI

CHI '20: CHI Conference on Human Factors in Computing Systems

April 25 - 30, 2020

HI, Honolulu, USA

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

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CHI 2025

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ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Cited By

Weber TWiniker CMayer S(2024)An Investigation of How Software Developers Read Machine Learning CodeProceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement10.1145/3674805.3686678(165-176)Online publication date: 24-Oct-2024
https://dl.acm.org/doi/10.1145/3674805.3686678
Weber TMayer S(2024)Usability and Adoption of Graphical Tools for Data-Driven DevelopmentProceedings of Mensch und Computer 202410.1145/3670653.3670658(231-241)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1145/3670653.3670658
Weber TEhe JMayer S(2024)Extending Jupyter with Multi-Paradigm EditorsProceedings of the ACM on Human-Computer Interaction10.1145/36602478:EICS(1-22)Online publication date: 17-Jun-2024
https://dl.acm.org/doi/10.1145/3660247
Teng XAhn YLin Y(2024)V: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven DecisionsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332658730:1(219-229)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3326587
Guo GKaravani EEndert AKwon B(2023)Causalvis: Visualizations for Causal InferenceProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581236(1-20)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581236
Chen CHoffswell JGuo SRossi RChan YDu FKoh ELiu Z(2023)WhatsNext: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebooks2023 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)10.1109/VL-HCC57772.2023.00033(209-214)Online publication date: 3-Oct-2023
https://doi.org/10.1109/VL-HCC57772.2023.00033
Reimann LKniesel-Wünsche GBavota GHao D(2023)Safe-DS: A Domain Specific Language to Make Data Science SafeProceedings of the 45th International Conference on Software Engineering: New Ideas and Emerging Results10.1109/ICSE-NIER58687.2023.00019(72-77)Online publication date: 17-May-2023
https://dl.acm.org/doi/10.1109/ICSE-NIER58687.2023.00019
Weber THußmann H(2022)Tooling for Developing Data-Driven Applications: Overview and OutlookProceedings of Mensch und Computer 202210.1145/3543758.3543779(66-77)Online publication date: 4-Sep-2022
https://dl.acm.org/doi/10.1145/3543758.3543779
Gobert CBeaudouin-Lafon M(2021)Représentations intermédiaires interactives pour la manipulation de code LaTeXProceedings of the 32nd Conference on l'Interaction Homme-Machine10.1145/3450522.3451325(1-11)Online publication date: 13-Apr-2021
https://dl.acm.org/doi/10.1145/3450522.3451325
Han HIqbal SMacLean KChevalier FMueller S(2020)Designing Representations for Digital DocumentsAdjunct Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology10.1145/3379350.3415805(174-178)Online publication date: 20-Oct-2020
https://dl.acm.org/doi/10.1145/3379350.3415805

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