On using eye tracking in empirical assessment of software visualizations

  • Authors:
  • Huzefa Kagdi;Shehnaaz Yusuf;Jonathan I. Maletic

  • Affiliations:
  • Kent State University, Kent Ohio;Kent State University, Kent Ohio;Kent State University, Kent Ohio

  • Venue:
  • Proceedings of the 1st ACM international workshop on Empirical assessment of software engineering languages and technologies: held in conjunction with the 22nd IEEE/ACM International Conference on Automated Software Engineering (ASE) 2007
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

The paper advocates the use of eye movement measurements in conducting empirical studies of software engineering tools, especially visualization techniques. Traditionally, measures such as accuracy and performance time have been used to assess and compare different tools for a given set of tasks. These measures are typically collected after the conclusion of an assigned task. Eye tracking adds a new additional dimension to the assessment arsenal by allowing access to the gaze activity of human subjects. The gaze activities can be captured quite precisely while a task is being performed. Thus, providing a unique opportunity to include measures of how exactly humans use a tool and ratiocinate their conclusions. A brief discussion on using the eye movements for assessing UML class diagram layouts is also presented.