调查实时程式化技术对用户任务性能的影响

Niall Redmond, J. Dingliana
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引用次数: 9

摘要

在本文中,我们提出了一个感知实验,其结果有助于创建非真实感渲染(NPR)风格,这可以积极影响实时场景中的用户任务性能。在一项旨在测试人们对抽象场景感知的视觉搜索任务中,不同类型的程式化被用来研究反应时间是如何受到影响的。我们展示了NPR技术如何与非风格化渲染进行比较,比较不同风格的有效性,确定每种风格的变化如何影响性能,并研究这些风格如何在不同复杂性的对象上执行。结果表明,NPR可以是一个有用的工具,增加目标物体的显著性,同时减少对场景其余部分的视觉影响。然而,它也表明,每种风格的成功在很大程度上取决于场景背景,也取决于所用的风格化水平。我们相信这项研究的结果可以帮助在未来创造有效的NPR风格。补充资料可在http://isg.cs.tcd.ie/skrbal/redmond/找到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating the effect of real-time stylisation techniques on user task performance
In this paper, we present a perceptual experiment whose results aid the creation of non-photorealistic rendering (NPR) styles which can positively affect user task performance in real-time scenes. In a visual search task designed to test people's perception of abstracted scenes, different types of stylisation are used to investigate how reaction times can be affected. We show how NPR techniques compare against non-stylised renderings, compare the effectiveness of different styles, determine how varying each style can affect performance and investigate how these styles perform with objects of varying complexity. The results show that NPR can be a useful tool for increasing the saliency of target objects while reducing the visual impact of the rest of the scene. However, it is also shown that the success of each style depends largely on the scene context and also on the level of stylisation used. We believe the results from this study can help in the creation of effective NPR styles in the future. Supplementary material can be found at http://isg.cs.tcd.ie/skrbal/redmond/.
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