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TweakIt: Supporting End-User Programmers Who Transmogrify Code

Authors:

Sruti Srinivasa Srinivasa Ragavan,

Advait SarkarAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 311, Pages 1 - 12

https://doi.org/10.1145/3411764.3445265

Published: 07 May 2021 Publication History

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Abstract

End-user programmers opportunistically copy-and-paste code snippets from colleagues or the web to accomplish their tasks. Unfortunately, these snippets often don’t work verbatim, so these people—who are non-specialists in the programming language—make guesses and tweak the code to understand and apply it successfully. To support their desired workflow and facilitate tweaking and understanding, we built a prototype tool, TweakIt, that provides users with a familiar live interaction to help them understand, introspect, and reify how different code snippets would transform their data. Through a usability study with 14 data analysts, participants found the tool to be useful to understand the function of otherwise unfamiliar code, to increase their confidence about what the code does, to identify relevant parts of code specific to their task, and to proactively explore and evaluate code. Overall, our participants were enthusiastic about incorporating TweakIt in their own day-to-day work.

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Cited By

Cavez VAppert CPietriga E(2024)Spreadsheets on Interactive Surfaces: Breaking through the Grid with the PenACM Transactions on Computer-Human Interaction10.1145/363009731:2(1-33)Online publication date: 29-Jan-2024
https://dl.acm.org/doi/10.1145/3630097
Oka HOhnishi ANishida TTerada TTsukamoto M(2024)A Choice-Based Programming Learning Method to Develop Problem-Solving SkillsIEEE Access10.1109/ACCESS.2024.344387912(119550-119562)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3443879
Sänger MDe Mecquenem NLewińska KBountris VLehmann FLeser UKosch T(2024)A qualitative assessment of using ChatGPT as large language model for scientific workflow developmentGigaScience10.1093/gigascience/giae03013Online publication date: 19-Jun-2024
https://doi.org/10.1093/gigascience/giae030
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Index Terms

TweakIt: Supporting End-User Programmers Who Transmogrify Code
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Software and its engineering
  1. Software creation and management
  2. Software notations and tools

Index terms have been assigned to the content through auto-classification.

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Information & Contributors

Information

Published In

cover image ACM Conferences

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

10862 pages

ISBN:9781450380966

DOI:10.1145/3411764

General Chairs:
Yoshifumi Kitamura
Tohoku University, Japan
,
Aaron Quigley
University of New South Wales, Australia
,
Program Chairs:
Katherine Isbister
University of California Santa Cruz, USA
,
Takeo Igarashi
The University of Tokyo, Japan
,
Publications Chairs:
Pernille Bjørn
University of Copenhagen, Denmark
,
Steven Drucker
Microsoft Research, USA

Copyright © 2021 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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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

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Published: 07 May 2021

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SIGCHI

CHI '21: CHI Conference on Human Factors in Computing Systems

May 8 - 13, 2021

Yokohama, Japan

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Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Cavez VAppert CPietriga E(2024)Spreadsheets on Interactive Surfaces: Breaking through the Grid with the PenACM Transactions on Computer-Human Interaction10.1145/363009731:2(1-33)Online publication date: 29-Jan-2024
https://dl.acm.org/doi/10.1145/3630097
Oka HOhnishi ANishida TTerada TTsukamoto M(2024)A Choice-Based Programming Learning Method to Develop Problem-Solving SkillsIEEE Access10.1109/ACCESS.2024.344387912(119550-119562)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3443879
Sänger MDe Mecquenem NLewińska KBountris VLehmann FLeser UKosch T(2024)A qualitative assessment of using ChatGPT as large language model for scientific workflow developmentGigaScience10.1093/gigascience/giae03013Online publication date: 19-Jun-2024
https://doi.org/10.1093/gigascience/giae030
Sarkar AStorm THirschfeld R(2023)Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?Proceedings of the 2023 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software10.1145/3622758.3622882(153-167)Online publication date: 18-Oct-2023
https://dl.acm.org/doi/10.1145/3622758.3622882
Davis MAghayi ELatoza TWang XMyers BSunshine J(2023)What’s (Not) Working in Programmer User Studies?ACM Transactions on Software Engineering and Methodology10.1145/358715732:5(1-32)Online publication date: 24-Jul-2023
https://dl.acm.org/doi/10.1145/3587157
Shrestha NChopra BHenley AParnin C(2023)Detangler: Helping Data Scientists Explore, Understand, and Debug Data Wrangling Pipelines2023 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)10.1109/VL-HCC57772.2023.00031(189-198)Online publication date: 3-Oct-2023
https://doi.org/10.1109/VL-HCC57772.2023.00031
Ferdowsi KWilliams JDrosos IGordon ANegreanu CPolikarpova NSarkar AZorn B(2023)COLDECO: An End User Spreadsheet Inspection Tool for AI-Generated Code2023 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)10.1109/VL-HCC57772.2023.00017(82-91)Online publication date: 3-Oct-2023
https://doi.org/10.1109/VL-HCC57772.2023.00017
Goel HKumar ARagavan S(2023)End-User Programming is WEIRD: How, Why and What to Do About It2023 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)10.1109/VL-HCC57772.2023.00013(41-50)Online publication date: 3-Oct-2023
https://doi.org/10.1109/VL-HCC57772.2023.00013
van Binsbergen LFrölich DVerano Merino MLai JJeanjean Pvan der Storm TCombemale BBarais OFischer BBurgueño LCazzola W(2022)A Language-Parametric Approach to Exploratory Programming EnvironmentsProceedings of the 15th ACM SIGPLAN International Conference on Software Language Engineering10.1145/3567512.3567527(175-188)Online publication date: 29-Nov-2022
https://dl.acm.org/doi/10.1145/3567512.3567527
Xiong KLuo ZFu SWang YXu MWu Y(2022)Revealing the Semantics of Data Wrangling Scripts With COMANTICSIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.3209470(1-11)Online publication date: 2022
https://doi.org/10.1109/TVCG.2022.3209470

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