Evaluating the Data Quality of Eye Tracking Signals from a Virtual Reality System: Case Study Using SMI's Eye-Tracking HTC Vive

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dc.contributor.authorLohr, Dillon J.
dc.contributor.authorFriedman, Lee
dc.contributor.authorKomogortsev, Oleg
dc.date.accessioned2019-12-04T16:58:05Z
dc.date.available2019-12-04T16:58:05Z
dc.date.issued2019-12-04
dc.description.abstractThis is an unpublished article which is submitted to a journal. We evaluated the data quality of SMI's tethered eye-tracking head-mounted display based on the HTC Vive (ET-HMD) during a random saccade task. We measured spatial accuracy, spatial precision, temporal precision, linearity, and crosstalk. We proposed the use of a non-parametric spatial precision measure based on the median absolute deviation (MAD). Our linearity analysis considered both the slope and adjusted R-squared of a best-fitting line. We were the first to test for a quadratic component to crosstalk. We prepended a calibration task to the random saccade task and evaluated 2 methods to employ this user-supplied calibration. For this, we used a unique binning approach to choose samples to be included in the recalibration analyses. We compared our quality measures between the ET-HMD and our EyeLink 1000 (SR-Research, Ottawa, Ontario, CA). We found that the ET-HMD had significantly better spatial accuracy and linearity fit than our EyeLink, but both devices had similar spatial precision and linearity slope. We also found that, while the EyeLink had no significant crosstalk, the ET-HMD generally exhibited quadratic crosstalk. Fourier analysis revealed that the binocular signal was a low-pass filtered version of the monocular signal. Such filtering resulted in the binocular signal being useless for the study of high-frequency components such as saccade dynamics. Data are available [1]. [1] Lohr, Dillon; Friedman, Lee; Komogortsev, Oleg, 2019, "Data for Novel Enhancements for the Evaluation of Eye-Tracking Device Performance: Case Study using SMI’s Eye-Tracking HTC Vive", https://doi.org/10.18738/T8/N8EIVG, Texas Data Repository Dataverse, V1
dc.description.departmentComputer Science
dc.formatText
dc.format.extent35 pages
dc.format.medium1 file (.pdf)
dc.identifier.urihttps://hdl.handle.net/10877/9006
dc.language.isoen
dc.subjecteye tracking
dc.subjectdata quality
dc.subjectHTC Vive
dc.subjecthead-mounted display
dc.subjectHMD
dc.subjectvirtual reality
dc.subjectVR
dc.subjectspatial accuracy
dc.subjectspatial precision
dc.subjecttemporal precision
dc.subjectlinearity
dc.subjectcrosstalk
dc.subjectComputer Science
dc.titleEvaluating the Data Quality of Eye Tracking Signals from a Virtual Reality System: Case Study Using SMI's Eye-Tracking HTC Vive
dc.typePaper

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