Investigating intelligibility for uncertain context-aware applications
Investigating intelligibility for uncertain context-aware applications
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DOI：
10.1145/2030112.2030168
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发表时间：
2011-09
期刊：
影响因子：
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通讯作者：
Brian Y. Lim;A. Dey
中科院分区：
文献类型：
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作者：
Brian Y. Lim;A. Dey
上下文感知应用程序使用感知和推理来尝试确定用户的上下文，并采取适当的操作。然而，它们容易产生不确定性，这可能会损害用户对它们的信任。提供可理解性有助于向用户解释上下文感知应用程序是如何工作的，从而改善用户对它们的印象。然而，我们假设可理解性实际上可能对非常不确定其行为的应用程序有害。我们对位置感知和声音感知应用程序进行了大型对照研究，调查了可理解性对理解的影响，以及不同确定性下用户对应用程序的印象。我们发现，可理解性会影响用户印象，这取决于应用程序的确定性和行为适当性。可理解性对于具有高确定性的应用程序是有帮助的，但如果应用程序的行为适当，但显示的确定性较低，则是有害的。
Context-aware applications use sensing and inference to attempt to determine users' contexts, and take appropriate action. However, they are prone to uncertainty, and this may compromise the trust users have in them. Providing intelligibility has been proposed to help explain to users how context-aware applications work in order to improve user impressions of them. However, we hypothesize that intelligibility may actually be harmful for applications that are very uncertain of their actions. We conducted a large controlled study of a location-aware and a sound-aware application, investigating the impact of intelligibility on understanding, and user impression of applications with varying certainty. We found that intelligibility impacts user impressions, depending on the application's certainty and behavior appropriateness. Intelligibility is helpful for applications with high certainty, but it is harmful if applications behave appropriately, yet display low certainty.