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arXiv 2108.04576cs.SE
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让您的利益相关者保持一致:需求工程中的交互式视觉视频

Keep Your Stakeholders Engaged: Interactive Vision Videos in Requirements Engineering

Lukas Nagel, Oliver Karras

摘要:

需求工程(RE)中最重要的问题之一是利益相关者心智模型的一致性。确保所有利益相关者对不断变化的系统有着相同的愿景,这对任何项目的成功都至关重要。利益相关者不一致的心理模型可能导致相互冲突的需求。解决这个问题的一个很有前途的方法是使用视频显示系统的愿景,所谓的愿景视频,这有助于利益相关者披露,讨论和调整他们的未来系统的心理模型。然而,视频有一个缺点,即允许观众采取被动的角色,如电子学习的研究所示。在这个角色中,观众在观看视频时往往是不活跃的,不集中的和无聊的。在本文中,我们学习和采用电子学习领域的科学文献中的研究结果,如何减轻这种被动的作用,同时观看视觉视频的需求工程。通过这种方式,我们开发了将互动元素融入视觉视频的概念,以帮助观众保持专注。这些元素包括在视频中提出的问题以及观众决定视频中接下来发生什么的方式。在对12名参与者的初步评估中,我们发现在将交互式视觉视频与传统形式进行比较时存在统计学显著差异。使用交互式视觉视频,观众明显更加投入,并收集更多关于所示系统的信息。

英文摘要:

One of the most important issues in requirements engineering (RE) is the alignment of stakeholders' mental models. Making sure that all stakeholders share the same vision of a changing system is crucial to the success of any project. Misaligned mental models of stakeholders can lead to conflicting requirements. A promising approach to this problem is the use of video showing a system vision, so-called vision videos, which help stakeholders to disclose, discuss, and align their mental models of the future system. However, videos have the drawback of allowing viewers to adopt a passive role, as has been shown in research on e-learning. In this role, viewers tend to be inactive, unfocused and bored while watching a video. In this paper, we learn and adopt findings from scientific literature in the field of e-learning on how to mitigate this passive role while watching vision videos in requirements engineering. In this way, we developed concepts that incorporate interactive elements into vision videos to help viewers stay focused. These elements include questions that are asked during the video and ways for viewers to decide what happens next in the video. In a preliminary evaluation with twelve participants, we found statistically significant differences when comparing the interactive vision videos with their traditional form. Using an interactive vision videos, viewers are noticeably more engaged and gather more information on the shown system.

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。

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