研究显著性对移动界面显示的影响

Jeremiah D. Stills, J. M. Hicks, Ashley A. Cain
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引用次数: 5

摘要

如今,设计师比以往任何时候都要投入更多的资源来开发更好的移动体验。研究人员通常使用视觉搜索效率作为可用性衡量标准,以确定某人执行任务所需的时间或精力。先前的研究表明,计算视觉显著性模型可以预测固定桌面显示器的注意力部署。设计师可以利用这种显著性意识将重要的任务信息与更高的显著性区域放在一起。研究表明,以这种方式将目标放置在较高的显著区域可以提高界面效率。然而,研究人员还没有在关键的移动技术设计尺寸上测试该模型,比如小型显示器和触摸屏。在两项研究中,我们考察了显著性对移动应用程序界面的影响。在第一项研究中,我们探索了在自由观看条件下,在三种不同显示尺寸的小型移动界面上,显著性模型预测注视的能力。在第二项研究中,我们研究了当参与者完成与高或低显著性相关的界面元素的定向搜索时,视觉显著性对搜索效率的影响。我们记录了触摸药片上目标元素的反应时间。我们通过实验阻断高显着性和低显着性相互作用,并主观测量认知工作量。我们发现一个显著性模型可以预测注视。在搜索任务中,参与者发现高度显著的目标比低显著的目标快900毫秒。有趣的是,参与者并没有意识到更轻的认知工作量与搜索效率的提高有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Examining the Influence of Saliency in Mobile Interface Displays
Designers spend more resources to develop better mobile experiences today than ever before. Researchers commonly use visual search efficiency as a usability measure to determine the time or effort it takes someone to perform a task. Previous research has shown that a computational visual saliency model can predict attentional deployment in stationary desktop displays. Designers can use this salience awareness to co-locate important task information with higher salience regions. Research has shown that placing targets in higher salience regions in this way improves interface efficiency. However, researchers have not tested the model in key mobile technology design dimensions such as small displays and touch screens. In two studies, we examined the influence of saliency in a mobile application interface. In the first study, we explored a saliency model’s ability to predict fixations in small mobile interfaces at three different display sizes under free-viewing conditions. In the second study, we examined the influence that visual saliency had on search efficiency while participants completed a directed search for either an interface element associated with high or low salience. We recorded reaction time to touch the targeted element on the tablet. We experimentally blocked high and low saliency interactions and subjectively measured cognitive workload. We found that a saliency model predicted fixations. In the search task, participants found highly salient targets about 900 milliseconds faster than low salient targets. Interestingly, participants did not perceive a lighter cognitive workload associated with the increase in search efficiency.
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