Eye Tracking Analysis of Code Layout, Crowding and Dyslexia - An Open Data Set

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Abstract

Within computer science there is increasing recognition of the need for research data sets to be openly available to facilitate transparency and reproducibility of studies. In this short paper an open data set is described which contains the eye tracking recordings from an experiment in which programmers with and without dyslexia reviewed and described Java code. The aim of the experiment was to investigate if crowding in code layout affected the gaze behaviour and program comprehension of programmers with dyslexia. The data set provides data from 30 participants (14 dyslexia, 16 control) and their eye gaze behaviour in reviewing three small Java programs in various combinations of crowded and spaced configurations. The key features of the data set are described and observations made on the effect of alternative area of interest configurations. The paper concludes with some observations on enhancing access to data sets through metadata, data provenance and visualizations.
Original languageEnglish
Title of host publicationETRA '21 Short Papers: ACM Symposium on Eye Tracking Research and Applications
PublisherAssociation for Computing Machinery
Pages1-6
Number of pages6
ISBN (Print)978145038345
DOIs
Publication statusPublished - 25 May 2021
EventETRA '21 Short Papers: ACM Symposium on Eye Tracking Research and Applications: Eighth International Workshop on Eye Movements in Programming - Virtual
Duration: 27 May 202127 May 2021
http://emipws.org/emip-2021-workshop/

Workshop

WorkshopETRA '21 Short Papers: ACM Symposium on Eye Tracking Research and Applications
Abbreviated titleEMIP 2021
Period27/05/2127/05/21
Internet address

Keywords

  • data sets
  • code layout
  • crowding
  • dyslexia
  • eye tracking

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