TY - GEN
T1 - Getting more out of Area of Interest (AOI) analysis with SPLOT
AU - Belopolsky, Artem V.
PY - 2020/6
Y1 - 2020/6
N2 - To analyze eye-tracking data the viewed image is often divided into areas of interest (AOI). However, the temporal dynamics of eye movements towards the AOI is often lost either in favor of summary statistics (e.g., proportion of fixations or dwell time) or is significantly reduced by "binning" the data and computing the same summary statistic over each time bin. This paper introduces SPLOT: smoothed proportion of looks over time method for analyzing the eye movement dynamics across AOI. SPLOT comprises of a complete workflow, from visualization of the time-course to performing statistical analysis on it using cluster-based permutation testing. The possibilities of SPLOT are illustrated by applying it to an existing dataset of eye movements of radiologists diagnosing a chest X-ray.
AB - To analyze eye-tracking data the viewed image is often divided into areas of interest (AOI). However, the temporal dynamics of eye movements towards the AOI is often lost either in favor of summary statistics (e.g., proportion of fixations or dwell time) or is significantly reduced by "binning" the data and computing the same summary statistic over each time bin. This paper introduces SPLOT: smoothed proportion of looks over time method for analyzing the eye movement dynamics across AOI. SPLOT comprises of a complete workflow, from visualization of the time-course to performing statistical analysis on it using cluster-based permutation testing. The possibilities of SPLOT are illustrated by applying it to an existing dataset of eye movements of radiologists diagnosing a chest X-ray.
KW - Area Of Interest analysis
KW - Cluster-based permutation
KW - Eye movement dynamics
KW - Eye Tracking
KW - Proportion of looks over time
UR - http://www.scopus.com/inward/record.url?scp=85085726817&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85085726817&partnerID=8YFLogxK
U2 - 10.1145/3379156.3391372
DO - 10.1145/3379156.3391372
M3 - Conference contribution
AN - SCOPUS:85085726817
T3 - Eye Tracking Research and Applications Symposium (ETRA)
SP - 1
EP - 4
BT - ETRA 2020 Short Papers
A2 - Spencer, Stephen N.
PB - Association for Computing Machinery
T2 - 2020 ACM Symposium on Eye Tracking Research and Applications, ETRA 2020
Y2 - 2 June 2020 through 5 June 2020
ER -