Paper Info
Title
TraQuMe: a tool for measuring the gaze tracking quality
Abstract
Consistent measuring and reporting of gaze data quality is important in research that involves eye trackers. We have developed TraQuMe: a generic system to evaluate the gaze data quality. The quality measurement is fast and the interpretation of the results is aided by graphical output. Numeric data is saved for reporting of aggregate metrics for the whole experiment. We tested TraQuMe in the context of a novel hidden calibration procedure that we developed to aid in experiments where participants should not know that their gaze is being tracked. The quality of tracking data after the hidden calibration procedure was very close to that obtained with the Tobii's T60 trackers built-in 2 point, 5 point and 9 point calibrations.
Year
DOI
Venue
2014
10.1145/2578153.2578192
ETRA
Keywords
Field
DocType
consistent measuring,numeric data,t60 trackers built-in,hidden calibration procedure,calibration procedure,data quality,eye tracker,point calibration,quality measurement,aggregate metrics
BitTorrent tracker,Computer vision,Data quality,Gaze,Quality measurement,Computer science,Simulation,Tracking data,Artificial intelligence,Calibration
Conference
Citations 
PageRank 
References 
5
0.69
3
Authors
5
Name
Order
Citations
PageRank
Deepak Akkil18210.62
Poika Isokoski255448.19
Jari Kangas3324137.89
Jussi Rantala424426.44
Roope Raisamo51035111.44