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Lightweight techniques for structural evaluation of animated metaphors

机译:用于动画隐喻结构评估的轻量级技术

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Visual metaphors in the form of still or animated pictures have been used in user interfaces with the hope of enhancing learning and use of computer applications. This paper studies animated metaphors with the intent to understand how they relate to human cognition and how their quality can be measured. We present a model of the relationships within metaphors, suggest lightweight evaluation techniques based on this model, and test these techniques in an empirical investigation. The results indicate that a lightweight analysis based on still images and made by domain-aware but metaphor-unaware judges can be used as a first step in deciding which metaphors are worthy of further study, and to direct animation efforts to overcome the most crucial problems. Furthermore, the results show that animation may increase or decrease the quality of a metaphor by considerable amounts; hence the final evaluation must be based on actual use of fully implemented metaphors. The results also confirm earlier suggestions to use rich metaphors and provides evidence that richness of the still image is important for the effectiveness of animation.
机译:静态或动画图片形式的视觉隐喻已在用户界面中使用,希望增强计算机应用程序的学习和使用。本文研究动画隐喻,旨在了解它们与人类认知的关系以及如何衡量其质量。我们提出了一个隐喻之间的关系模型,提出了基于该模型的轻量级评估技术,并在实证研究中测试了这些技术。结果表明,基于静态图像的轻量级分析是由领域感知但不了解隐喻的法官进行的,可作为第一步,确定哪些隐喻值得进一步研究,并指导动画工作克服最关键的问题。此外,结果表明,动画可能会显着增加或降低隐喻的质量。因此,最终评估必须基于完全使用隐喻的实际使用。结果还证实了使用丰富隐喻的早期建议,并提供了证明静止图像的丰富性对于动画效果很重要的证据。

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