Understanding Navon: Different designs of local-global tasks capture different bias effects

IF 2 4区 心理学 Q3 PSYCHOLOGY
Felix Schweigkofler, Sjoerd Stuit, Johan Wagemans, Leendert van Maanen, Stefan van der Stigchel
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Abstract

When processing hierarchical compound figures with local elements in a global shape (often called the “Navon task”), an observer may perceive information from the local or the global level more quickly and/or accurately. This difference is referred to as local-global bias. This basic principle – measuring a difference between the local and global level – is conceptually very broad and can be implemented with many different task designs and figure designs. Importantly, however, there exists a pervasive notion of this bias being a unitary construct or even representative of a stable perceptual or cognitive style. However, few studies have examined the various facets of local-global bias across different task designs or assessed the retest reliability of these measures. Our study aimed to deepen the understanding of local-global bias by using three different hierarchical compound figure tasks: the Navon task and two Kimchi-Palmer task variations (one preference-based, one performance-based). We tested 75 participants across two sessions 1 week apart. Our findings revealed that metrics from the Navon task are not test-retest reliable, whereas two metrics from the Kimchi-Palmer tasks are. Some metrics were correlated between the Kimchi-Palmer tasks, but not between the Kimchi-Palmer task and the Navon task. These results suggest that local-global bias is not a unitary construct, and that different tasks measure different underlying mechanisms. We discuss possible reasons for these differences and suggest that future research should use multiple local-global tasks or otherwise prioritize Kimchi-Palmer tasks for studying individual traits and possibly Navon tasks for temporary and group-level effects.

Abstract Image

理解Navon:不同的局部-全局任务设计捕获不同的偏差效应。
当处理具有全局形状的局部元素的分层复合图形时(通常称为“Navon任务”),观察者可以更快和/或更准确地从局部或全局级别感知信息。这种差异被称为局部-全局偏差。这一基本原则——衡量本地和全球级别之间的差异——在概念上非常广泛,可以通过许多不同的任务设计和图形设计来实现。然而,重要的是,存在一种普遍的观念,即这种偏见是一种统一的结构,甚至代表了一种稳定的感知或认知风格。然而,很少有研究在不同的任务设计中检查局部-全局偏差的各个方面或评估这些措施的重测可靠性。我们的研究旨在通过使用三个不同的分层复合图形任务来加深对局部-全局偏见的理解:Navon任务和两个Kimchi-Palmer任务变体(一个基于偏好,一个基于绩效)。我们对75名参与者进行了为期一周的两次测试。我们的研究结果表明,来自Navon任务的指标不可靠,而来自Kimchi-Palmer任务的两个指标则可靠。有些指标在Kimchi-Palmer任务之间是相关的,但在Kimchi-Palmer任务和Navon任务之间不是相关的。这些结果表明局部-全局偏差不是一个统一的结构,不同的任务测量不同的潜在机制。我们讨论了这些差异的可能原因,并建议未来的研究应该使用多个局部-全局任务或优先考虑Kimchi-Palmer任务来研究个体特征,并可能优先考虑Navon任务来研究暂时和群体水平的影响。
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来源期刊
CiteScore
3.60
自引率
17.60%
发文量
197
审稿时长
4-8 weeks
期刊介绍: The journal Attention, Perception, & Psychophysics is an official journal of the Psychonomic Society. It spans all areas of research in sensory processes, perception, attention, and psychophysics. Most articles published are reports of experimental work; the journal also presents theoretical, integrative, and evaluative reviews. Commentary on issues of importance to researchers appears in a special section of the journal. Founded in 1966 as Perception & Psychophysics, the journal assumed its present name in 2009.
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