Department of Biological and Clinical Psychology, University of Trier, Johanniterufer 15, 54290, Trier, Germany.
Department of Psychology, Laboratory for Biological and Personality Psychology, Albert-Ludwigs-University of Freiburg, Stefan-Meier-Str. 8, 79104, Freiburg, Germany.
Sci Rep. 2021 Jan 29;11(1):2661. doi: 10.1038/s41598-021-81987-x.
Many eye tracking studies use facial stimuli presented on a display to investigate attentional processing of social stimuli. To introduce a more realistic approach that allows interaction between two real people, we evaluated a new eye tracking setup in three independent studies in terms of data quality, short-term reliability and feasibility. Study 1 measured the robustness, precision and accuracy for calibration stimuli compared to a classical display-based setup. Study 2 used the identical measures with an independent study sample to compare the data quality for a photograph of a face (2D) and the face of the real person (3D). Study 3 evaluated data quality over the course of a real face-to-face conversation and examined the gaze behavior on the facial features of the conversation partner. Study 1 provides evidence that quality indices for the scene-based setup were comparable to those of a classical display-based setup. Average accuracy was better than 0.4° visual angle. Study 2 demonstrates that eye tracking quality is sufficient for 3D stimuli and robust against short interruptions without re-calibration. Study 3 confirms the long-term stability of tracking accuracy during a face-to-face interaction and demonstrates typical gaze patterns for facial features. Thus, the eye tracking setup presented here seems feasible for studying gaze behavior in dyadic face-to-face interactions. Eye tracking data obtained with this setup achieves an accuracy that is sufficient for investigating behavior such as eye contact in social interactions in a range of populations including clinical conditions, such as autism spectrum and social phobia.
许多眼动追踪研究使用显示在屏幕上的面部刺激来研究对社会刺激的注意力处理。为了引入一种更现实的方法,使两个人之间可以进行互动,我们在三个独立的研究中评估了一种新的眼动追踪设置,从数据质量、短期可靠性和可行性三个方面进行了评估。研究 1 比较了校准刺激的稳健性、精度和准确性,与经典的基于显示的设置相比。研究 2 使用相同的测量方法和独立的研究样本,比较了面部照片(2D)和真实人脸(3D)的质量数据。研究 3 在真实的面对面对话过程中评估了数据质量,并检查了对话伙伴面部特征的注视行为。研究 1 提供了证据,表明基于场景的设置的质量指标与基于经典显示的设置相当。平均精度优于 0.4°视觉角度。研究 2 表明,眼动跟踪质量足以用于 3D 刺激,并且在不重新校准的情况下可以抵抗短暂中断。研究 3 证实了在面对面互动过程中跟踪精度的长期稳定性,并演示了面部特征的典型注视模式。因此,这里提出的眼动追踪设置似乎适用于研究面对面互动中的注视行为。使用该设置获得的眼动追踪数据具有足够的准确性,可以研究各种人群(包括自闭症谱系和社交恐惧症等临床状况)中社交互动中的行为,例如眼神接触。