Abstract

The interaction between humans and digital interfaces is a complex cognitive process which has a high demand on working memory resources. However, most previous research on icon perception seems to focus only on the influences of an icon's internal characteristics (e.g. visual complexity, concreteness and familiarity) on simple tasks such as visual search and recall tasks. The study reported here applied a math task to simulate the complicated process of human-computer interaction and investigated the effects of icon internal characteristics on the performance of complex cognition. First, we created and filtered 80 novel icons of 4 different types (simple & concrete, simple & abstract, complex & concrete, complex & abstract). Subsequently, participants were required to perform an icon-meaning recall task, during which icon familiarity was manipulated by different exposure frequencies. Finally, after viewing random icon-digit associations, participants' abilities to solve algebraic equations involving icons were tested. The results indicated that participants performed significantly better when the icons were simple, concrete or familiar and these beneficial effects increased as the task became more complex. Additionally, strong evidence was found to show that it was easier to encode and maintain familiar icons and associated information in working memory. The findings of this study provide useful information for the icon design and interface design of human-computer interaction.

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