The Accuracy and Precision of Memory for Natural Scenes: A Walk in the Park.

Q1 Social Sciences
Open Mind Pub Date : 2024-03-01 eCollection Date: 2024-01-01 DOI:10.1162/opmi_a_00122
Leo Westebbe, Yibiao Liang, Erik Blaser
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引用次数: 0

Abstract

It is challenging to quantify the accuracy and precision of scene memory because it is unclear what 'space' scenes occupy (how can we quantify error when misremembering a natural scene?). To address this, we exploited the ecologically valid, metric space in which scenes occur and are represented: routes. In a delayed estimation task, participants briefly saw a target scene drawn from a video of an outdoor 'route loop', then used a continuous report wheel of the route to pinpoint the scene. Accuracy was high and unbiased, indicating there was no net boundary extension/contraction. Interestingly, precision was higher for routes that were more self-similar (as characterized by the half-life, in meters, of a route's Multiscale Structural Similarity index), consistent with previous work finding a 'similarity advantage' where memory precision is regulated according to task demands. Overall, scenes were remembered to within a few meters of their actual location.

自然景观记忆的准确性和精确性:公园漫步
量化场景记忆的准确性和精确度是一项挑战,因为我们还不清楚场景所占据的 "空间 "是什么(我们如何量化误记自然场景时的误差?)为了解决这个问题,我们利用了生态学上有效的、场景出现和表现的度量空间:路线。在一项延迟估计任务中,参与者先是短暂地看到一个从室外 "环形路线 "视频中提取的目标场景,然后使用路线的连续报告轮来精确定位场景。准确率很高,而且没有偏差,表明没有净边界扩展/收缩。有趣的是,自相似性较高的路线精确度更高(以米为单位的路线多尺度结构相似性指数的半衰期),这与之前发现的 "相似性优势 "一致,即记忆精确度根据任务需求进行调节。总的来说,人们对场景的记忆都在其实际位置的几米之内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Open Mind
Open Mind Social Sciences-Linguistics and Language
CiteScore
3.20
自引率
0.00%
发文量
15
审稿时长
53 weeks
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