Perception of goal-directed motion in infants and adults: eye-tracking experiments and computational model.

目前的项目通过眼动追踪实验和计算建模相结合的方式来研究目标导向运动的感知。我们想找出在多大程度上的知觉/概念和域特定/域一般的因素影响检测目标导向的运动在成人和婴儿。眼动跟踪和计算建模将使我们能够避免在以前的研究中遇到的许多陷阱。我们不要求被试进行外显判断，而是通过测量被试在动态追逐检测任务中的眼动来测试他们的内隐表现。我们不是建立一个基于先验假设的模型，而是对成年人的眼球运动进行数据挖掘，从而获得对目标导向运动感知中自下而上机制的正式描述。我们没有询问婴儿在特定年龄是否表现出特定的能力，而是在成人模型的帮助下量化了婴儿在自由观看追逐运动时的眼动行为，并将其解释力与不同年龄组的领域一般显着性模型进行了比较。因此，我们的目标是尽量减少研究者的假设对被试的表现，数据评估和解释的影响，这往往困扰着人类社会能力的起源和特征的讨论。

The current project investigates the perception of goal-directed motion through a combination of eye-tracking experiments and computational modelling. We want to find out to what degree perceptual/conceptual and domain-specific/domain-general factors influence the detection of goal-directed motion in adults and infants. Eye-tracking and computational modelling will allow us to avoid many pitfalls encountered in previous research. Instead of asking subjects for explicit judgments we test their implicit performance by measuring their eye movements in a dynamic chase-detection task. Instead of setting up a model based on a priori assumptions, we data-mine adult´s eye movements and thereby obtain a formal account of bottom-up mechanisms involved in the perception of goal-directed motion. Instead of asking whether infants do or do not show a particular competence at a particular age, we quantify infants´ eye movement behaviour during free-viewing of the chasing motion with the help of adult model and contrast its explanatory power with that of domain-general saliency models across different age groups. Thus, we aim to minimize the influence of researcher´s hypotheses on the subjects´ performance, data evaluation, and interpretation that often plagues the discussions of origins and features of human social competences.