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Temporal scramble disrupts eye movements to naturalistic videos

机译:颞跳动扰乱了自然视频的眼球运动

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When viewing a scene, humans rapidly move their eyes to foveate visual features and objects of interest. In natural conditions, this process is temporally complex, yet little is known about how the temporal structure of naturalistic stimuli affects the dynamics of eye movements under free viewing. We tracked eye position while observers watched a 6-minute scene from a feature film that was shot as a continuous sequence (with no cuts). Consistent with previous reports (Hasson et al., J Neurosci, 2008), eye movements were highly reliable, both across repeated presentations and across observers. We then divided the scene into clips of various durations (ranging from 500 ms to 30 s) and scrambled the temporal order of the clips, thereby introducing cuts. Eye-movement reliability, quantified as the covariance between eye positions to the scrambled clips and those during the corresponding portions of the full-length scene, was found to increase as a power-law function of clip duration, from a??0 for the 500 ms clips to an asymptote for clips 30 s in duration. We developed a model that assumed that observers searched randomly following each cut, fixating at arbitrary locations until finding a target of interest and then tracking it faithfully. We fit the model to the data by analytically deriving the model's prediction for the relationship between clip duration and eye movement reliability (covariance). While simple, this model fit the data well with only two free parameters (number of possible target locations, asymptotic covariance). However, the model fits exhibited a systematic bias at the shortest scramble durations. We conclude that exploratory fixations depend critically on the temporal continuity of stimuli, and that human observers might utilize a random search strategy when viewing naturalistic, time-varying stimuli.
机译:在观看场景时,人类迅速将他们的眼睛迅速移动到Fove的视觉特征和感兴趣的物体。在自然条件下,这个过程在时间上是复杂的,但是关于自然刺激的时间结构如何影响自由观察下的眼球动态的令人讨厌。我们跟踪了眼睛位置,而观察者从作为连续序列拍摄的特征电影中观看了6分钟的场景(没有削减)。与以前的报告一致(Hasson等人,J Neurosci,2008),眼球运动在重复演示和观察者中都是高度可靠的。然后,我们将场景划分为各种持续时间的剪辑(范围从500 ms到30秒)并扰乱夹子的时间顺序,从而引入切割。被测可靠性,被定量为眼睛位置到扰夹的协方差以及在全长场景的相应部分期间的那些,从A的夹子持续时间的功率律函数增加到0. 500 ms剪辑到剪辑的渐近>持续时间> 30秒。我们开发了一种模型,假设观察者随机搜索,在每次切割后,在任意位置定影,直到找到感兴趣的目标,然后忠实地跟踪它。通过分析模型对夹子持续时间和眼睛运动可靠性(协方差)之间的关系来实现模型的预测来拟对数据模型。虽然简单,但这种模型仅适用于数据,只有两个免费参数(可能的目标位置的数量,渐近协方差)。然而,模型适合在最短的争夺持续时间上呈现系统偏差。我们得出结论,探索性固定尺寸依赖于刺激的时间连续性,并且当观察自然主义,时变刺激时,人类观察者可以利用随机搜索策略。

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