Silvis Jeroen D, Donk Mieke
Department of Cognitive Pyschology, Vrije Universiteit Amsterdam, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands,
Atten Percept Psychophys. 2014 Aug;76(6):1803-14. doi: 10.3758/s13414-014-0688-1.
Whenever a novel scene is presented, visual salience merely plays a transient role in oculomotor selection. Unique stimulus properties, such as a distinct and, thereby, salient color, affect the oculomotor response only when observers react relatively quickly. For slower responses, or for consecutive ones, salience-driven effects appear completely absent. To date, however, the circumstances that may reinstate the effects of salience over multiple eye movements are still unclear. Recent research shows that changes to a scene can attract gaze, even when these changes occur without a transient signal (i.e., during an eye movement). The aim of the present study was to investigate whether this capture is mediated through salience-driven or memory-guided processes. In three experiments, we examined how the nature of a change in salience that occurred during an eye movement affected consecutive saccades. The results demonstrate that the oculomotor system is exclusively susceptible to increases in salience from one fixation to the next, but only when these increases result in a uniquely high salience level. This suggests that even in the case of a saccade-contingent change, oculomotor selection behavior can be affected by salience-driven mechanisms, possibly to allow the automatic detection of uniquely distinct objects at any moment. The results and implications will be discussed in relation to current views on visual selection.
每当呈现一个新场景时,视觉显著性在眼动选择中仅起短暂作用。独特的刺激属性,如独特且因而显著的颜色,仅在观察者反应相对较快时才会影响眼动反应。对于较慢的反应或连续的反应,显著性驱动的效应似乎完全不存在。然而,迄今为止,可能在多次眼动中恢复显著性效应的情况仍不清楚。最近的研究表明,场景的变化能够吸引注视,即使这些变化在没有瞬态信号的情况下发生(即在眼动过程中)。本研究的目的是调查这种捕获是通过显著性驱动的过程还是记忆引导的过程介导的。在三个实验中,我们研究了眼动过程中发生的显著性变化的性质如何影响连续的扫视。结果表明,眼动系统仅对从一次注视到下一次注视时显著性的增加敏感,但仅当这些增加导致独特的高显著性水平时才会如此。这表明,即使在扫视相关变化的情况下,眼动选择行为也可能受到显著性驱动机制的影响,这可能是为了能够在任何时刻自动检测独特的不同物体。将结合当前关于视觉选择的观点对结果及其影响进行讨论。