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首页> 外文会议>International Conference on HCI in Mobility, Transport, and Automotive Systems;International Conference on Human-Computer Interaction >Investigating Users' Responses to Context-Aware Presentations on Large Displays in Public Transport
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Investigating Users' Responses to Context-Aware Presentations on Large Displays in Public Transport

机译：调查用户对公共交通中大型显示器上的上下文感知演示的响应

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摘要

Public displays are increasingly used in public transport to present information such as departure and arrival times or network maps. Since this information is displayed generically, users often have problems to find the specific information they need. We propose context-aware visualizations on public displays to support passengers by improving personalized information access. Several visualizations for this domain were identified, for example, highlighting individual route or pricing information by fading out the background or increasing readability by font size adaptation. To investigate the influence of adapted content on the user we tested prototypical presentations that show personalized information concerning personal trips. In our user study with 20 participants we analyzed these visualizations to compare their efficiency in contrast to non-adaptive content by measuring time to perform specific tasks. This work presents the results of our user study. They show that especially highlighted information supports the user in finding personalized information faster.
机译：公共显示器在公共交通工具中越来越多地用于呈现信息，例如出发和到达时间或网络地图。由于此信息是通用显示的，因此用户经常会遇到找不到所需特定信息的问题。我们建议在公共显示器上使用上下文感知的可视化，以通过改善个性化信息访问来支持乘客。确定了该领域的几种可视化效果，例如，通过淡化背景来突出显示单个路线或价格信息，或者通过字体大小调整来提高可读性。为了调查改编内容对用户的影响，我们测试了原型演示，该演示显示了有关个人旅行的个性化信息。在我们的20名参与者的用户研究中，我们分析了这些可视化效果，以通过测量执行特定任务的时间来比较其与非自适应内容的效率。这项工作介绍了我们的用户研究结果。它们表明，突出显示的信息可帮助用户更快地找到个性化信息。

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