Utility of human-computer interactions: toward a science of preference measurement
Utility of human-computer interactions: toward a science of preference measurement
复制标题
人机交互的效用：走向偏好测量的科学
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
J. Landay
中科院分区：
文献类型：
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作者：
Michael Toomim;Travis Kriplean;C. Pörtner;J. Landay
计算机系统的成功取决于用户的选择，但人机交互领域几乎没有能力预测用户的选择。我们提出了一种新方法来衡量用户的选择，并将其量化为效用的衡量标准。我们的方法有两个核心特征。首先，它引入了效用的经济学定义，我们可以通过经济实验来实施这一定义。其次，我们采用了一种新颖的众包方法，可以从真实用户那里收集数千个经济判断。
The success of a computer system depends upon a user choosing it, but the field of Human-Computer Interaction has little ability to predict this user choice. We present a new method that measures user choice, and quantifies it as a measure of utility. Our method has two core features. First, it introduces an economic definition of utility, one that we can operationalize through economic experiments. Second, we employ a novel method of crowdsourcing that enables the collection of thousands of economic judgments from real users.