Since smooth pursuit eye movements can be used without calibration in spontaneous gaze interaction, the intuitiveness of the gaze interface design has been a topic of great interest in the human-computer interaction field. However, since most related research focuses on curved smooth-pursuit trajectories, the design issues of linear trajectories are poorly understood. Hence, this study evaluated the user performance of gaze interfaces based on linear smooth pursuit eye movements.
View Article and Find Full Text PDFJ Med Imaging (Bellingham)
January 2016
While eye tracking research in conventional radiography has flourished over the past decades, the number of eye tracking studies that looked at multislice images lags behind. A possible reason for the lack of studies in this area might be that the eye tracking methodology used in the context of conventional radiography cannot be applied one-on-one to volumetric imaging material. Challenges associated with eye tracking in volumetric imaging are particularly associated with the selection of stimulus material, the detection of events in the eye tracking data, the calculation of meaningful eye tracking parameters, and the reporting of abnormalities.
View Article and Find Full Text PDFObjective: The aim of this study was to explore reader gaze, performance, and preference during interpretation of cranial computed tomography (cCT) in stack mode at two different sizes.
Background: Digital display of medical images allows for the manipulation of many imaging factors, like image size, by the radiologists, yet it is often not known what display parameters better suit human perception.
Method: Twenty-one radiologists provided informed consent to be eye tracked while reading 20 cCT cases.
J Med Imaging (Bellingham)
October 2014
Radiology practice is based on the implicit assumption that the preference for a particular presentation mode goes hand in hand with superior performance. The present experiment tests this assumption in what pertains to image size. Forty-three radiologists were asked to identify intracranial hemorrhages on 20 cranial computed tomography scans in two image sizes, [Formula: see text] and [Formula: see text].
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