Kyle-Davidson Cameron, Solis Oscar, Robinson Stephen, Tan Ryan Tze Wang, Evans Karla K
University of York, Dept. of Psychology, York, YO10 5NA, UK.
University of York, Dept. of Psychology, York, YO10 5NA, UK.
Vision Res. 2025 Feb;227:108525. doi: 10.1016/j.visres.2024.108525. Epub 2024 Dec 6.
Humans can remember a vast amount of scene images; an ability often attributed to encoding only low-fidelity gist traces of a scene. Instead, studies show a surprising amount of detail is retained for each scene image allowing them to be distinguished from highly similar in-category distractors. The gist trace for images can be relatively easily captured through both computational and behavioural techniques, but capturing detail is much harder. While detail can be broadly estimated at the categorical level (e.g. man-made scenes more complex than natural), there is a lack of both ground-truth detail data at the sample level and a way to operationalise it for measurement purposes. Here through three different studies, we investigate whether the perceptual complexity of scenes can serve as a suitable analogue for the detail present in a scene, and hence whether we can use complexity to determine the relationship between scene detail and visual long term memory for scenes. First we examine this relationship directly using the VISCHEMA datasets, to determine whether the perceived complexity of a scene interacts with memorability, finding a significant positive correlation between complexity and memory, in contrast to the hypothesised U-shaped relation often proposed in the literature. In the second study we model complexity via artificial means, and find that even predicted measures of complexity still correlate with the overall ground-truth memorability of a scene, indicating that complexity and memorability cannot be easily disentangled. Finally, we investigate how cognitive load impacts the influence of scene complexity on image memorability. Together, findings indicate complexity and memorability do vary non-linearly, but generally it is limited to the extremes of the image complexity ranges. The effect of complexity on memory closely mirrors previous findings that detail enhances memory, and suggests that complexity is a suitable analogue for detail in visual long-term scene memory.
人类能够记住大量的场景图像;这种能力通常被认为仅仅是对场景的低保真主旨痕迹进行编码。相反,研究表明,每个场景图像都保留了惊人数量的细节,从而能够将它们与高度相似的同类干扰物区分开来。通过计算和行为技术可以相对容易地捕捉图像的主旨痕迹,但捕捉细节则要困难得多。虽然可以在类别层面大致估计细节(例如人造场景比自然场景更复杂),但在样本层面缺乏真实的细节数据,也缺乏将其用于测量目的的操作方法。在这里,通过三项不同的研究,我们调查场景的感知复杂性是否可以作为场景中存在的细节的合适类比,因此我们是否可以使用复杂性来确定场景细节与视觉长期记忆之间的关系。首先,我们使用VISCHEMA数据集直接研究这种关系,以确定场景的感知复杂性是否与记忆性相互作用,结果发现复杂性与记忆之间存在显著的正相关,这与文献中经常提出的假设U形关系相反。在第二项研究中,我们通过人工手段对复杂性进行建模,发现即使是预测的复杂性度量仍然与场景的整体真实记忆性相关,这表明复杂性和记忆性不容易分开。最后,我们研究认知负荷如何影响场景复杂性对图像记忆性的影响。综合来看,研究结果表明复杂性和记忆性确实呈非线性变化,但一般仅限于图像复杂性范围的极端情况。复杂性对记忆的影响与之前关于细节增强记忆的研究结果密切相似,这表明复杂性是视觉长期场景记忆中细节的合适类比。