Combining usability testing with eye-tracking technology: evaluation of a visualization support for antibiotic use in intensive care.

Stud Health Technol Inform

Health Informatics Centre, Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Sweden.

Published: December 2011

AI Article Synopsis

  • This research focuses on evaluating a prototype called Infobiotika, designed to enhance antibiotic use in intensive care settings, by measuring its efficiency, effectiveness, and user satisfaction.
  • The study involved eight intensive care physicians who performed navigational, clinical, and learning tasks, utilizing both traditional usability testing and eye-tracking technology to capture their interactions.
  • Findings indicate that Infobiotika effectively supports navigation and provides a quick overview of patient status, while eye-tracking revealed valuable insights into design issues and user performance, enhancing the overall usability evaluation.

Article Abstract

This research work is an explorative study to measure efficiency, effectiveness and user satisfaction of a prototype called Infobiotika aiming to support antibiotic use in intensive care. The evaluation was performed by combining traditional usability testing with eye-tracking technology. The test was conducted with eight intensive care physicians whereof four specialists and four residents. During three test phases participants were asked to perform three types of tasks, namely navigational, clinical and tasks to measure the learning effect after 3-5 minutes free exploring time. A post-test questionnaire was used to explore user satisfaction. Based on the results and overall observations, Infobiotika seems to be effective and efficient in terms of supporting navigation and also a learnable product for intensive care physicians fulfilling their need to get an accurate overview of a patient status quickly. Applying eye-tracking technology during usability testing has shown to be a valuable complement to traditional methods that revealed many unexpected issues in terms of navigation and contributed a supplementary understanding about design problems and user performance.

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