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Webcam eye tracking close to laboratory standards: Comparing a new webcam-based system and the EyeLink 1000.
Kaduk, Tobiasz; Goeke, Caspar; Finger, Holger; König, Peter.
Afiliação
  • Kaduk T; Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany. tobiasz.kaduk@uni-osnabrueck.de.
  • Goeke C; Research and Development Division, Scicovery GmbH, Paderborn, Germany. tobiasz.kaduk@uni-osnabrueck.de.
  • Finger H; Research and Development Division, Scicovery GmbH, Paderborn, Germany.
  • König P; Research and Development Division, Scicovery GmbH, Paderborn, Germany.
Behav Res Methods ; 2023 Oct 11.
Article em En | MEDLINE | ID: mdl-37821751
ABSTRACT
This paper aims to compare a new webcam-based eye-tracking system, integrated into the Labvanced platform for online experiments, to a "gold standard" lab-based eye tracker (EyeLink 1000 - SR Research). Specifically, we simultaneously recorded data with both eye trackers in five different tasks, analyzing their real-time performance. These tasks were a subset of a standardized test battery for eye trackers, including a Large Grid task, Smooth Pursuit eye movements, viewing natural images, and two Head Movements tasks (roll, yaw). The results show that the webcam-based system achieved an overall accuracy of 1.4°, and a precision of 1.1° (standard deviation (SD) across subjects), an error of about 0.5° larger than the EyeLink system. Interestingly, both accuracy (1.3°) and precision (0.9°) were slightly better for centrally presented targets, the region of interest in many psychophysical experiments. Remarkably, the correlation of raw gaze samples between the EyeLink and webcam-based was at about 90% for the Large Grid task and about 80% for Free View and Smooth Pursuit. Overall, these results put the performance of the webcam-based system roughly on par with mobile eye-tracking devices (Ehinger et al. PeerJ, 7, e7086, 2019; Tonsen et al., 2020) and demonstrate substantial improvement compared to existing webcam eye-tracking solutions (Papoutsaki et al., 2017).
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article