Suppr超能文献

场景感知过程中基于客体的注意会引发记忆中的边界收缩。

Object-based attention during scene perception elicits boundary contraction in memory.

作者信息

Hall Elizabeth H, Geng Joy J

机构信息

Department of Psychology, University of California Davis, Davis, CA, 95616, USA.

Center for Mind and Brain, University of California Davis, Davis, CA, 95618, USA.

出版信息

Mem Cognit. 2025 Jan;53(1):6-18. doi: 10.3758/s13421-024-01540-9. Epub 2024 Mar 26.

Abstract

Boundary contraction and extension are two types of scene transformations that occur in memory. In extension, viewers extrapolate information beyond the edges of the image, whereas in contraction, viewers forget information near the edges. Recent work suggests that image composition influences the direction and magnitude of boundary transformation. We hypothesize that selective attention at encoding is an important driver of boundary transformation effects, selective attention to specific objects at encoding leading to boundary contraction. In this study, one group of participants (N = 36) memorized 15 scenes while searching for targets, while a separate group (N = 36) just memorized the scenes. Both groups then drew the scenes from memory with as much object and spatial detail as they could remember. We asked online workers to provide ratings of boundary transformations in the drawings, as well as how many objects they contained and the precision of remembered object size and location. We found that search condition drawings showed significantly greater boundary contraction than drawings of the same scenes in the memorize condition. Search drawings were significantly more likely to contain target objects, and the likelihood to recall other objects in the scene decreased as a function of their distance from the target. These findings suggest that selective attention to a specific object due to a search task at encoding will lead to significant boundary contraction.

摘要

边界收缩和扩展是记忆中发生的两种场景转换类型。在扩展中,观察者会在图像边缘之外推断信息,而在收缩中,观察者会忘记靠近边缘的信息。最近的研究表明,图像构图会影响边界转换的方向和程度。我们假设编码时的选择性注意是边界转换效应的一个重要驱动因素,编码时对特定对象的选择性注意会导致边界收缩。在本研究中,一组参与者(N = 36)在搜索目标的同时记忆15个场景,而另一组(N = 36)只记忆这些场景。然后,两组参与者都尽可能详细地从记忆中画出这些场景,包括物体和空间细节。我们让在线工作人员对这些画中的边界转换进行评分,以及画中包含多少物体,以及记忆中物体大小和位置的精确程度。我们发现,搜索条件下画出的场景比记忆条件下画出的相同场景显示出明显更大的边界收缩。搜索画中显著更有可能包含目标物体,并且回忆场景中其他物体的可能性随着它们与目标的距离而降低。这些发现表明,由于编码时的搜索任务而对特定对象的选择性注意会导致显著的边界收缩。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dab5/11779785/c5a262e90db5/13421_2024_1540_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验