人机交互实验的一些原因和方法

K. Hornbæk
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引用次数: 55

摘要

实验有助于理解人机交互,并描述用户界面的价值。然而,很少有关于如何设计、运行和报告实验的中间指南。本专著提出了这样的指导方针。我们简要地讨论了为什么实验对于推动人机交互超越技术创新是无价的。然后,我们确定了做好的实验的启发式,包括如何在设计假设和选择测量方法的现有工作的基础上建立;如何设计具有挑战性的比较,而不是有偏见的输赢设置;如何设计实验以排除其他解释;如何为结论提供证据;以及如何叙述发现。这些启发式方法在人机交互的优秀实验中得到了证明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Some Whys and Hows of Experiments in Human-Computer Interaction
Experiments help to understand human–computer interaction and to characterize the value of user interfaces. Yet, few intermediate guidelines exist on how to design, run, and report experiments. The present monograph presents such guidelines. We briefly argue why experiments are invaluable for advancing human–computer interaction beyond technical innovation.We then identify heuristics of doing good experiments, including how to build on existing work in devising hypotheses and selecting measures; how to craft challenging comparisons, rather than biased win–lose setups; how to design experiments so as to rule out alternative explanations; how to provide evidence for conclusions; and how to narrate findings. These heuristics are exemplified by excellent experiments in human–computer interaction.
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