Across a broad range of stimulus types and tasks (16 stimulus types × 26 tasks, 1,744 observers in total), the present study employed an individual-item differences analysis to extract the factors of visual-attentional processing. Three orthogonal factors were identified and they can be summarized as an FVS 2.0 framework: featural, visual, and spatial strengths. Apart from one exception (low-level motion), the FVS 2.0 framework accounts for the vast majority (95.4%) of the variances in the 25 tasks. Therefore, the three straightforward factors provide a unifying framework for understanding the relationship between stimulus types as well as those between tasks. Combining these and other related results, the role of preattentive features seems to be rather different from the traditional view: visual features are general purpose, exclusive, innate, constancy based, and keyword like. A general-purpose, exclusive, innate, constancy-based and keyword-like (GEICK) conjecture is proposed which suggests that the features are conscious-level keywords generated by the specific brain area of V4 and/or IT and then used by all other brain areas. (PsycInfo Database Record (c) 2021 APA, all rights reserved)

中文翻译：

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FVS 2.0：用于理解视觉注意处理因素的统一框架。

在广泛的刺激类型和任务（16 种刺激类型 × 26 项任务，总共 1,744 名观察者）中，本研究采用个体项目差异分析来提取视觉注意处理的因素。确定了三个正交因素，它们可以概括为FVS 2.0 框架：特征、视觉和空间强度. 除了一个例外（低级运动），FVS 2.0 框架占 25 项任务中的绝大多数（95.4%）差异。因此，这三个直接因素为理解刺激类型之间以及任务之间的关系提供了一个统一的框架。结合这些和其他相关结果，预注意特征的作用似乎与传统观点有很大不同：视觉特征是通用的、排他的、先天的、基于恒常的和类似关键字的。提出了一个通用的、排他的、先天的、基于恒常性的和类似关键字（GEICK）的猜想，该猜想表明这些特征是由 V4 和/或 IT 的特定大脑区域生成的意识级关键字，然后被所有其他人使用大脑区域。（PsycInfo 数据库记录 (c) 2021 APA，保留所有权利）