Skip to main navigation Skip to search Skip to main content

Using eye trackers for usability evaluation of health information technology: A systematic literature review

  • Clemson University

Research output: Contribution to journalReview articlepeer-review

58 Scopus citations

Abstract

Background: Eye-tracking technology has been used to measure human cognitive processes and has the potential to improve the usability of health information technology (HIT). However, it is still unclear how the eye-tracking method can be integrated with other traditional usability methodologies to achieve its full potential. Objective: The objective of this study was to report on HIT evaluation studies that have used eye-tracker technology, and to envision the potential use of eye-tracking technology in future research. Methods: We used four reference databases to initially identify 5248 related papers, which resulted in only 9 articles that met our inclusion criteria. Results: Eye-tracking technology was useful in finding usability problems in many ways, but is still in its infancy for HIT usability evaluation. Limited types of HITs have been evaluated by eye trackers, and there has been a lack of evaluation research in natural settings. Conclusions: More research should be done in natural settings to discover the real contextual-based usability problems of clinical and mobile HITs using eye-tracking technology with more standardized methodologies and guidance.

Original languageEnglish
Article numbere5
JournalJMIR Human Factors
Volume2
Issue number1
DOIs
StatePublished - 1 Jan 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Eye-tracking technology
  • Health information technology
  • Usability evaluation

Fingerprint

Dive into the research topics of 'Using eye trackers for usability evaluation of health information technology: A systematic literature review'. Together they form a unique fingerprint.

Cite this