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图标熟悉度会影响复杂认知任务的表现。

Icon Familiarity Affects the Performance of Complex Cognitive Tasks.

作者信息

Shen Zhangfan, Zhang Linghao, Xiao Xing, Li Rui, Liang Ruoyu

机构信息

School of Design, Jiangnan University, Wuxi, China.

出版信息

Iperception. 2020 Mar 4;11(2):2041669520910167. doi: 10.1177/2041669520910167. eCollection 2020 Mar-Apr.

Abstract

The purpose of this study was to investigate whether and how users' familiarity with symbols affects the performance of complex cognitive tasks which place considerable demands on working memory resources. We combined a modified math task paradigm with our previous icon familiarity training paradigm. Participants were required to complete a mathematical task involving icons to test their ability to perform complex cognitive tasks. The complexity of the task was manipulated using three independent variables: icon familiarity (high-frequency vs. low-frequency), whether or not the equation requires substitution (substitution vs. no-substitution), and the number of steps required for solution (one step vs. two steps). The results showed that participants performed better on the equation-solving task when it used icons they were more extensively trained on. Importantly, icon familiarity interacted with the complexity of the task and the familiarity effect on performance (accuracy and response time) became greater when the complexity increased. These findings provide evidence that familiarity affects not only the ease of information retrieval but also the ease of subsequent processing activities associated with these information, which extends our understanding of how familiarity affects working memory. Moreover, our findings have practical implications for improving interaction efficiency. Before the operators formally use a digital system, they need to learn the precise meaning of those complex or unfamiliar symbols in a certain context as much as possible.

摘要

本研究的目的是调查用户对符号的熟悉程度是否以及如何影响对工作记忆资源有相当高要求的复杂认知任务的表现。我们将一种改良的数学任务范式与我们之前的图标熟悉度训练范式相结合。参与者被要求完成一项涉及图标的数学任务,以测试他们执行复杂认知任务的能力。使用三个自变量来操纵任务的复杂性:图标熟悉度(高频与低频)、方程是否需要代入(代入与不代入)以及求解所需的步骤数(一步与两步)。结果表明,当方程使用他们接受过更广泛训练的图标时,参与者在方程求解任务上表现得更好。重要的是,图标熟悉度与任务的复杂性相互作用,并且当复杂性增加时,熟悉度对表现(准确性和反应时间)的影响变得更大。这些发现提供了证据,表明熟悉度不仅影响信息检索的难易程度,还影响与这些信息相关的后续处理活动的难易程度,这扩展了我们对熟悉度如何影响工作记忆的理解。此外,我们的发现对提高交互效率具有实际意义。在操作员正式使用数字系统之前,他们需要尽可能在特定情境中了解那些复杂或不熟悉符号的精确含义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c0e/7059235/9c6e3f98f1d7/10.1177_2041669520910167-fig1.jpg

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