多模态提示在增强视觉目标识别方面的效果如何？来自可用性研究的一些证据
How really effective are Multimodal Hints in enhancing Visual Target Spotting? Some evidence from a usability study
摘要：
这里提出的工作的主要目的是有助于计算机科学的多模态可用性领域的进步，在尽可能多的，因为它解决了一个主要的问题有关的有效的口头系统的消息的生成：如何设计的消息，有效地帮助用户找到特定的图形对象在信息可视化？进行了一项实验研究，以确定是否口头消息，包括粗糙的信息，在当前显示器上的图形对象的位置，可以促进目标检测任务，足以使它值得，而在GUI中集成这样的消息。显示空间布局的变化，以测试的影响，这些信息的贡献，以促进拥挤的显示器上的视觉搜索的视觉呈现结构。最后，三个层次的任务难度被定义，主要是基于目标的视觉复杂性和在场景中的干扰物的数量。研究结果表明，空间信息信息显著提高了被试的视觉搜索绩效;它们更适合于放射状结构，而不是矩阵，随机和elleptic结构;并且，它们对于执行困难的视觉搜索任务特别有用。
英文摘要：
The main aim of the work presented here is to contribute to computer science advances in the multimodal usability area, in-as-much as it addresses one of the major issues relating to the generation of effective oral system messages: how to design messages which effectively help users to locate specific graphical objects in information visualisations? An experimental study was carried out to determine whether oral messages including coarse information on the locations of graphical objects on the current display may facilitate target detection tasks sufficiently for making it worth while to integrate such messages in GUIs. The display spatial layout varied in order to test the influence of visual presentation structure on the contribution of these messages to facilitating visual search on crowded displays. Finally, three levels of task difficulty were defined, based mainly on the target visual complexity and the number of distractors in the scene. The findings suggest that spatial information messages improve participants' visual search performances significantly; they are more appropriate to radial structures than to matrix, random and elleptic structures; and, they are particularly useful for performing difficult visual search tasks.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
