Costela Francisco M, Woods Russell L
Schepens Eye Research Institute, Massachusetts Eye and Ear, Boston, MA, United States.
Department of Ophthalmology, Harvard Medical School, Boston, MA, United States.
Front Neurosci. 2019 Jan 7;12:960. doi: 10.3389/fnins.2018.00960. eCollection 2018.
Commonly, saccades are thought to be ballistic eye movements, not modified during flight, with a straight path and a well-described velocity profile. However, they do not always follow a straight path and studies of saccade curvature have been reported previously. In a prior study, we developed a real-time, saccade-trajectory prediction algorithm to improve the updating of gaze-contingent displays and found that saccades with a curved path or that deviated from the expected velocity profile were not well fit by our saccade-prediction algorithm (velocity-profile deviation), and thus had larger updating errors than saccades that had a straight path and had a velocity profile that was fit well by the model. Further, we noticed that the curved saccades and saccades with high velocity-profile deviations were more common than we had expected when participants performed a natural-viewing task. Since those saccades caused larger display updating errors, we sought a better understanding of them. Here we examine factors that could affect curvature and velocity profile of saccades using a pool of 218,744 saccades from 71 participants watching "Hollywood" video clips. Those factors included characteristics of the participants (e.g., age), of the videos (importance of faces for following the story, genre), of the saccade (e.g., magnitude, direction), time during the session (e.g., fatigue) and presence and timing of scene cuts. While viewing the video clips, saccades were most likely horizontal or vertical over oblique. Measured curvature and velocity-profile deviation had continuous, skewed frequency distributions. We used mixed-effects regression models that included cubic terms and found a complex relationship between curvature, velocity-profile deviation and saccade duration (or magnitude). Curvature and velocity-profile deviation were related to some video-dependent features such as lighting, face presence, or nature and human figure content. Time during the session was a predictor for velocity profile deviations. Further, we found a relationship for saccades that were in flight at the time of a scene cut to have higher velocity-profile deviations and lower curvature in univariable models. Saccades characteristics vary with a variety of factors, which suggests complex interactions between oculomotor control and scene content that could be explored further.
通常情况下,扫视被认为是一种弹道式眼动,在运动过程中不会被修正,具有直线轨迹和描述清晰的速度曲线。然而,它们并不总是沿着直线轨迹运动,之前已有关于扫视曲率的研究报道。在之前的一项研究中,我们开发了一种实时扫视轨迹预测算法,以改进注视点相关显示的更新,结果发现,路径弯曲或偏离预期速度曲线的扫视不能很好地被我们的扫视预测算法拟合(速度曲线偏差),因此与具有直线轨迹且速度曲线能被模型很好拟合的扫视相比,其更新误差更大。此外,我们注意到,在参与者执行自然观看任务时,弯曲扫视和具有高速度曲线偏差的扫视比我们预期的更为常见。由于这些扫视会导致更大的显示更新误差,我们试图更好地了解它们。在这里,我们使用来自71名观看“好莱坞”视频片段的参与者的218,744次扫视数据,研究可能影响扫视曲率和速度曲线的因素。这些因素包括参与者的特征(如年龄)、视频的特征(故事中面部的重要性、类型)、扫视的特征(如幅度、方向)、观看过程中的时间(如疲劳程度)以及场景切换的存在和时间。在观看视频片段时,扫视最有可能是水平或垂直方向而非倾斜方向。测量得到的曲率和速度曲线偏差具有连续的、偏态的频率分布。我们使用了包含三次项的混合效应回归模型,发现曲率、速度曲线偏差和扫视持续时间(或幅度)之间存在复杂的关系。曲率和速度曲线偏差与一些视频相关特征有关,如光照、面部出现情况或自然及人物内容。观看过程中的时间是速度曲线偏差的一个预测因素。此外,我们发现在单变量模型中,在场景切换时正在进行的扫视具有更高的速度曲线偏差和更低的曲率。扫视特征会因多种因素而变化,这表明眼动控制与场景内容之间存在复杂的相互作用,有待进一步探索。