Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4966555 | International Journal of Medical Informatics | 2017 | 32 Pages |
Abstract
The accuracy and confidence of each group could be reflected in the variability of their eye tracking heat maps. Participants' thoughts and decisions were quantified using the eye tracking data. Eye tracking metrics also reflected the different search strategies that each group of participants adopted during their image interpretations. This is the first study to use eye tracking technology to assess image interpretation skills between various groups of different levels of experience in radiography, especially on a combination of the MSK system, chest cavity and a variety of pathologies.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Laura McLaughlin, Raymond Bond, Ciara Hughes, Jonathan McConnell, Sonyia McFadden,