Eye Tracking Analysis of Code Layout, Crowding and Dyslexia - An Open Data Set
Ian McChesney, Raymond B Bond · ACM Symposium on Eye Tracking Research and Applications · 2021
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.