Mobile eye tracking: Generalizability and limitations of the static scene viewing paradigm

我们的拨款建议的中心动机是批判性地质疑静态场景观看范式的普遍性。Tatler及其同事（2011年）在一篇评论文章中提出了正在审查的问题。我们计划在一系列实验中使用移动的眼动跟踪来研究四种对眼动的影响：（i）身体姿势和位置的影响，（ii）对静态场景的自然定向的影响，（iii）场景感知过程中的运动准备的影响，以及（iv）深度线索的影响。我们将分析眼动参数，如扫视幅度的分布，固定位置和固定时间。此外，我们将计算对相关函数，一种从空间统计学的方法，以进一步了解扫描路径生成的动力学。最后，实验数据将被用于两个方面：评估现有的动态模型生成的扫描路径，并开发一个模型的视景误差。这些模型被认为是在自然环境中控制眼球运动的过程模型发展的基础。

Central motivation of our grant proposal is to critically question the generalizability of the static scene-viewing paradigm. The concerns under scrutiny were raised by Tatler and colleagues (2011) in a review article. We are planning to use mobile eye-tracking in a series of experiments to investigate four effects on eye movements: the effect (i) of body posture and position, (ii) of natural orientation towards a static scene, (iii) of movement preparation during scene perception, and (iv) of depth cues. We will analyze eye movement parameters like the distribution of saccade amplitudes, fixation positions, and fixation durations. In addition, we will compute pair correlation functions, a method from spatial statistics to further understand the dynamics of scanpath generation. Finally, the experimental data will be used twofold: to evaluate an existing dynamical model for the generation of scanpaths and to develop a model of oculomotor error during scene viewing. The models are thought to be fundamental for the development of process models for the control of eye movements in natural settings.