• DocumentCode
    3773132
  • Title

    Eye-Tracking Metrics in Software Engineering

  • Author

    Zohreh Sharafi;Timothy Shaffer;Bonita Sharif;Yann-Ga?l Gu?h?neuc

  • Author_Institution
    Genie Inf. et Genie Logiciel, Ecole Polytech. de Montreal, Montreal, QC, Canada
  • fYear
    2015
  • Firstpage
    96
  • Lastpage
    103
  • Abstract
    Eye-tracking studies are getting more prevalent in software engineering. Researchers often use different metrics when publishing their results in eye-tracking studies. Even when the same metrics are used, they are given different names, causing difficulties in comparing studies. To encourage replications and facilitate advancing the state of the art, it is important that the metrics used by researchers be clearly and consistently defined in the literature. There is therefore a need for a survey of eye-tracking metrics to support the (future) goal of standardizing eye-tracking metrics. This paper seeks to bring awareness to the use of different metrics along with practical suggestions on using them. It compares and contrasts various eye-tracking metrics used in software engineering. It also provides definitions for common metrics and discusses some metrics that the software engineering community might borrow from other fields.
  • Keywords
    "Measurement","Visualization","Software engineering","Unified modeling language","Software","Gaze tracking","Mathematical model"
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Conference (APSEC), 2015 Asia-Pacific
  • Electronic_ISBN
    1530-1362
  • Type

    conf

  • DOI
    10.1109/APSEC.2015.53
  • Filename
    7467288