视频作为数字原型的副产品:捕捉交互的动态方面

Oliver Karras, Carolin Unger-Windeler, Lennart Glauer, K. Schneider
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引用次数: 21

摘要

需求工程提供了一些实践来分析用户希望如何与未来的软件交互。模型、原型和场景适合于尽早了解可用性问题和用户需求。然而,用户通常对最终软件的可用性不满意。显然,在开发阶段,先前探索的信息丢失或不再可访问。场景是描述行为的一种有效方法。然而,它们通常用自然语言表示,这通常不适合捕获和交流开发人员和用户可理解的交互知识。如果只使用静态描述,交互的动态方面就会丢失。数字原型可以通过在手工或数字绘制的模型中添加响应式控件来创建交互式原型。我们建议捕获这些控件的事件,以获得交互的表示。从这些数据中,我们生成演示交互序列的视频,作为文本场景的额外支持。可以通过修改捕获的事件序列和模型来创建场景的变体。任何改变都是没有问题的,因为视频只需要重新生成。因此,我们实现了视频作为数字原型的副产品。这减少了与视频录制(如截屏)相比的工作量。第一次评估表明,与静态模型相比,这种生成的视频支持更快地理解文本场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Video as a By-Product of Digital Prototyping: Capturing the Dynamic Aspect of Interaction
Requirements engineering provides several practices to analyze how a user wants to interact with a future software. Mockups, prototypes, and scenarios are suitable to understand usability issues and user requirements early. Nevertheless, users are often dissatisfied with the usability of a resulting software. Apparently, previously explored information was lost or no longer accessible during the development phase.Scenarios are one effective practice to describe behavior. However, they are commonly notated in natural language which is often improper to capture and communicate interaction knowledge comprehensible to developers and users. The dynamic aspect of interaction is lost if only static descriptions are used. Digital prototyping enables the creation of interactive prototypes by adding responsive controls to hand-or digitally drawn mockups. We propose to capture the events of these controls to obtain a representation of the interaction. From this data, we generate videos, which demonstrate interaction sequences, as additional support for textual scenarios.Variants of scenarios can be created by modifying the captured event sequences and mockups. Any change is unproblematic since videos only need to be regenerated. Thus, we achieve video as a by-product of digital prototyping. This reduces the effort compared to video recording such as screencasts. A first evaluation showed that such a generated video supports a faster understanding of a textual scenario compared to static mockups.
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