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停滞不前?一种基于模型的视觉时间顺序判断基本问题研究方法。

Stuck on a Plateau? A Model-Based Approach to Fundamental Issues in Visual Temporal-Order Judgments.

作者信息

Tünnermann Jan, Scharlau Ingrid

机构信息

Psychology, Paderborn University, 33098 Paderborn, Germany.

出版信息

Vision (Basel). 2018 Jul 16;2(3):29. doi: 10.3390/vision2030029.

Abstract

Humans are incapable of judging the temporal order of visual events at brief temporal separations with perfect accuracy. Their performance-which is of much interest in visual cognition and attention research-can be measured with the temporal-order judgment (TOJ) task, which typically produces S-shaped psychometric functions. Occasionally, researchers reported plateaus within these functions, and some theories predict such deviation from the basic S shape. However, the centers of the psychometric functions result from the weakest performance at the most difficult presentations and therefore fluctuate strongly, leaving the existence and exact shapes of plateaus unclear. This study set out to investigate whether plateaus disappear if the data accuracy is enhanced, or if we are "stuck on a plateau", or rather with it. For this purpose, highly accurate data were assessed by model-based analysis. The existence of plateaus is confidently confirmed and two plausible mechanisms derived from very different models are presented. Neither model, however, performs well in the presence of a strong attention manipulation, and model comparison remains unclear on the question of which of the models describes the data best. Nevertheless, the present study includes the highest accuracy in visual TOJ data and the most explicit models of plateaus in TOJ studied so far.

摘要

人类无法完全准确地判断短暂时间间隔内视觉事件的时间顺序。他们的表现——这在视觉认知和注意力研究中备受关注——可以通过时间顺序判断(TOJ)任务来衡量,该任务通常会产生S形心理测量函数。偶尔,研究人员报告这些函数中存在平台期,并且一些理论预测会偏离基本的S形。然而,心理测量函数的中心是由最困难呈现时最弱的表现产生的,因此波动很大,使得平台期的存在和确切形状尚不清楚。本研究旨在调查如果提高数据准确性,平台期是否会消失,或者我们是否“被困在平台期”,或者确切地说与之相关。为此,通过基于模型的分析评估了高度准确的数据。平台期的存在得到了可靠证实,并提出了源自非常不同模型的两种合理机制。然而,在存在强烈注意力操纵的情况下,两个模型的表现都不佳,并且在哪个模型最能描述数据的问题上模型比较仍不明确。尽管如此,本研究包括了迄今为止视觉TOJ数据中最高的准确性和最明确的TOJ平台期模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/202e/6835551/d1a6066fd654/vision-02-00029-g001.jpg

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