AMIA Annu Symp Proc. 2011;2011:72-9. Epub 2011 Oct 22.

Studying visual behaviors from multiple eye tracking features across levels of information representation.

AMIA ... Annual Symposium proceedings. AMIA Symposium

Blake Anderson, Chi-Ren Shyu

PMID: 22195057 PMCID: PMC3243285

Abstract

While eye movements have been used to analyze behaviors for many years, research studies that employ eye tracking technologies are often limited to basic physical features and fixations, which leads to an abundance of data. Because visual behaviors are complex in nature, it can be difficult to make comparisons and conclusions based on subjects' scanpaths. In this study, we analyze visual activities from 15 expert radiographers and 26 novices as they view a series of images to attempt to discover relationships between a large number of features including fixation, region and subject information. We expect that the techniques used in this study will be useful in finding common behaviors in eye tracking data for medical applications. These behaviors could be used to train novices and prevent potential medical errors that occur during visual analysis of medical images.

References

1. Mem Cognit. 1989 Nov;17(6):759-69 - PubMed
2. Hum Pathol. 2006 Dec;37(12):1543-56 - PubMed
3. Eur J Radiol. 2006 Aug;59(2):257-64 - PubMed
4. AMIA Annu Symp Proc. 2010 Nov 13;2010:21-5 - PubMed
5. J Digit Imaging. 1997 Nov;10(4):147-51 - PubMed

MeSH terms

• Eye Movement Measurements*
• Eye Movements*
• Humans
• Radiography*

Publication Types

• Journal Article
• Research Support, N.I.H., Extramural
• Research Support, U.S. Gov't, Non-P.H.S.

Grant support

• T15 LM007089/LM/NLM NIH HHS/United States
• 5T15LM007089-20/LM/NLM NIH HHS/United States