Psychological Science ( IF 10.172 ) Pub Date : 2021-07-12 , DOI: 10.1177/0956797621994768 Taylor R Hayes 1 , John M Henderson 1, 2
The visual world contains more information than we can perceive and understand in any given moment. Therefore, we must prioritize important scene regions for detailed analysis. Semantic knowledge gained through experience is theorized to play a central role in determining attentional priority in real-world scenes but is poorly understood. Here, we examined the relationship between object semantics and attention by combining a vector-space model of semantics with eye movements in scenes. In this approach, the vector-space semantic model served as the basis for a concept map, an index of the spatial distribution of the semantic similarity of objects across a given scene. The results showed a strong positive relationship between the semantic similarity of a scene region and viewers’ focus of attention; specifically, greater attention was given to more semantically related scene regions. We conclude that object semantics play a critical role in guiding attention through real-world scenes.
中文翻译:
寻找语义相似性:语义的向量空间模型可以告诉我们关于现实世界场景中的注意力
视觉世界包含的信息比我们在任何特定时刻都能感知和理解的要多。因此,我们必须优先考虑重要的场景区域进行详细分析。通过经验获得的语义知识被理论上认为在确定现实世界场景中的注意力优先级方面起着核心作用,但人们对此知之甚少。在这里,我们通过将语义的向量空间模型与场景中的眼球运动相结合来研究对象语义和注意力之间的关系。在这种方法中,向量空间语义模型作为概念图的基础,概念图是给定场景中对象语义相似性空间分布的索引。结果表明,场景区域的语义相似度与观看者的注意力之间存在很强的正相关关系;具体来说,更多地关注语义相关的场景区域。我们得出结论,对象语义在通过真实场景引导注意力方面发挥着关键作用。