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REyeker: Remote Eye Tracker

Published: 25 May 2021 Publication History

Abstract

Eye tracking allows us to shed light on how developers read and understand source code and how that is linked to cognitive processes. However, studies with eye trackers are usually tied to a laboratory, requiring to observe participants one at a time, which is especially challenging in the current pandemic. To allow for safe and parallel observation, we present our tool REyeker, which allows researchers to observe developers remotely while they understand source code from their own computer without having to directly interact with the experimenter. The original image is blurred to distort text regions and disable legibility, requiring participants to click on areas of interest to deblur them to make them readable. While REyeker naturally can only track eye movements to a limited degree, it allows researchers to get a basic understanding of developers’ reading behavior.

References

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J. Bauer, J. Siegmund, N. Peitek, J. C. Hofmeister, and S. Apel. 2019. Indentation: Simply a Matter of Style or Support for Program Comprehension?. In Proc. Int’l Conf. Program Comprehension (ICPC). IEEE CS, 154–164.
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Sarah Fakhoury, Yuzhan Ma, Venera Arnaoudova, and Olusola Adesope. 2018. The Effect of Poor Source Code Lexicon and Readability on Developers’ Cognitive Load. In Proc. Int’l Conf. Program Comprehension (ICPC).
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Anthony R. Jansen, Alan F. Blackwell, and Kim Marriott. 2003. A Tool for Tracking Visual Attention: The Restricted Focus Viewer. Behavior Research Methods, Instruments, & Computers (2003), 57–69.
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Nam Wook Kim, Zoya Bylinskii, Michelle A Borkin, Krzysztof Z Gajos, Aude Oliva, Fredo Durand, and Hanspeter Pfister. 2017. BubbleView: An Interface for Crowdsourcing Image Importance Maps and Tracking Visual Attention. ACM Transactions on Computer-Human Interaction (TOCHI) (2017), 36.
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Norman Peitek, Janet Siegmund, and Sven Apel. 2020. What Drives the Reading Order of Programmers? An Eye Tracking Study. In Proc. Int’l Conf. Program Comprehension (ICPC). ACM, 342–353.
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Bonita Sharif and Johnathon Maletic. 2010. An Eye Tracking Study on camelCase and under_score Identifier Styles. In Proc. Int’l Conf. Program Comprehension (ICPC). IEEE CS, 196–205.

Cited By

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  • (2024)On current limitations of online eye-tracking to study the visual processing of source codeInformation and Software Technology10.1016/j.infsof.2024.107502174:COnline publication date: 1-Oct-2024

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      cover image ACM Conferences
      ETRA '21 Short Papers: ACM Symposium on Eye Tracking Research and Applications
      May 2021
      232 pages
      ISBN:9781450383455
      DOI:10.1145/3448018
      Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      New York, NY, United States

      Publication History

      Published: 25 May 2021

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      Author Tags

      1. Comprehension
      2. Eye tracking
      3. Mouse-contingent interface
      4. Program learning
      5. Visual attention

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      • (2024)On current limitations of online eye-tracking to study the visual processing of source codeInformation and Software Technology10.1016/j.infsof.2024.107502174:COnline publication date: 1-Oct-2024

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