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An analysis of accuracy requirements for automatic eyetracker recalibration at runtime

: Camp, Florian van de; Gill, D.; Hild, Jutta; Beyerer, Jürgen

Postprint urn:nbn:de:0011-n-4214292 (327 KByte PDF)
MD5 Fingerprint: dea8f71df87b10f11e97ca5cb8de5caf
Created on: 17.11.2016

Stephanidis, C.:
HCI International 2016 - Posters' extended abstracts. 18th international conference, HCI International 2016. Pt.2 : Toronto, Canada, July 17-22, 2016; Proceedings
Cham: Springer International Publishing, 2016 (Communications in computer and information science 618)
ISBN: 978-3-319-40541-4 (Print)
ISBN: 978-3-319-40542-1 (Online)
International Conference on Human-Computer Interaction (HCI International) <18, 2016, Toronto>
Conference Paper, Electronic Publication
Fraunhofer IOSB ()
eye trackers; gain insight; gaze estimation; localization errors; recalibrations; salient objects; user interaction; visual angle

The initial calibration of an eye-tracker is a crucial step to provide accurate gaze data, often as a position on a screen. Issues influencing the calibration such as the user’s pose can change while using the eye tracker. Hence, recalibration might often be necessary but at the expense of interrupting the user executing the working task. Monitoring interactions such as clicks on a target or detecting salient objects could provide recalibration points without deliberate user interaction. To gain insight into how accurate recalibration points must be localized to ensure that gaze estimation accuracy is improved, we conducted a user study and examined the effect of correct as well as erroneous localization of recalibration points. The results show that even a localization error of 1.2 degrees of visual angle induces an error of less than 0.5? to the estimated gaze position on screen. Our results indicate the necessary requirements any method automatically providing recalibration points has to fulfill.