Effects of intelligent notification management on users and their tasks
Effects of intelligent notification management on users and their tasks
复制标题
智能通知管理对用户及其任务的影响
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
B. Bailey
中科院分区：
文献类型：
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作者：
Shamsi T. Iqbal;B. Bailey
我们提出了一种新的通知管理系统，并报告了两项测试其性能和影响的研究结果。该系统使用统计模型来实现管理通知的延迟到断点策略。第一项研究测试了模型在检测新任务序列中三种类型的断点时的表现。结果表明，这些模型能够很好地检测断点，但很难区分它们的类型。我们的第二项研究探索了使用我们的系统管理通知对用户及其任务的影响。结果表明，与立即发送通知相比，在断点安排通知可以减少挫折感和反应时间。我们还发现，通知内容的相关性决定了它应该被传递的断点类型。在断点处安排通知的核心概念与用户希望管理通知的方式非常吻合。这表明用户很可能在实践中采用通知管理系统。
We present a novel system for notification management and report results from two studies testing its performance and impact. The system uses statistical models to realize defer-to-breakpoint policies for managing notifications. The first study tested how well the models detect three types of breakpoints within novel task sequences. Results show that the models detect breakpoints reasonably well, but struggle to differentiate their type. Our second study explored effects of managing notifications with our system on users and their tasks. Results showed that scheduling notifications at breakpoints reduces frustration and reaction time relative to delivering them immediately. We also found that the relevance of notification content determines the type of breakpoint at which it should be delivered. The core concept of scheduling notifications at breakpoints fits well with how users prefer notifications to be managed. This indicates that users would likely adopt the use of notification management systems in practice.