Eye-tracking Data Analyser (EDA): Web Application and Evaluation

Zakrt A., Elmahgiubi A. O., Alhomsi B., ERASLAN Ş., YILMAZ Y.

2020 ACM Symposium on Eye Tracking Research and Applications - Adjunct, ETRA 2020, Virtual, Online, Germany, 2 - 05 June 2020, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1145/3379157.3391301
  • City: Virtual, Online
  • Country: Germany
  • Keywords: eye tracking, mann-whitney, statistical comparison, t-test, two user groups
  • Middle East Technical University Northern Cyprus Campus Affiliated: Yes

Abstract

Eye tracking is a growing field of research that is widely used to understand user behaviours and cognitive strategies. Eye-trackers typically collect an enormous amount of data that needs to be analysed, processed and interpreted to draw some conclusions. Collected data is typically examined with either commonly used statistical tools such as SPSS which are not designed specifically for eye-tracking data analysis, or bespoke tools provided by eye-tracker vendors. However, these tools may require extensive experience or they may be extremely expensive. To address these limitations, we propose an open-source web application called EDA (Eye-Tracking Data Analyser) which can be used to analyse eye-tracking data, in particular, to conduct comparative statistical tests between two groups. In this paper, we first present the overall architecture and implementation of this application and then present its evaluation conducted with ten people who are experts in eye-tracking research. The evaluation shows that the EDA application is easy to use, and its workload measure is low in terms of NASA NLX.