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  • 标题:Icon Familiarity Affects the Performance of Complex Cognitive Tasks
  • 本地全文:下载
  • 作者:Zhangfan Shen ; Linghao Zhang ; Xing Xiao
  • 期刊名称:i-Perception
  • 电子版ISSN:2041-6695
  • 出版年度:2020
  • 卷号:11
  • 期号:2
  • 页码:1-18
  • DOI:10.1177/2041669520910167
  • 语种:English
  • 出版社:Pion Ltd.
  • 摘要: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.
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