论文标题
二进制决策艾滋病的最大利益和可能的有害影响
Maximal benefits and possible detrimental effects of binary decision aids
论文作者
论文摘要
二进制决策辅助工具，例如警报，是一种简单而广泛使用的自动化形式。对用户任务性能进行辅助任务性能的正式分析将过程视为来自两个探测器的信息的组合，他们都收到有关事件的输入并对其进行评估。用户的决定基于援助的输出和信息，用户独立获得。我们提出了一种简单的方法，用于计算用户可以从用户和援助敏感性的功能中衍生出的最大利益。结合用户和援助通常几乎没有增加性能，更好的检测器可以单独实现。同样，如果用户为援助分配非最佳权重，则性能可能会大幅下降。因此，与单独工作更敏感的用户相比，有效辅助的引入实际上可以降低检测性能。同样，将用户添加到具有高灵敏度的系统中可能会降低其性能。系统设计人员需要考虑将用户或艾滋病引入系统的潜在不利影响。
Binary decision aids, such as alerts, are a simple and widely used form of automation. The formal analysis of a user's task performance with an aid sees the process as the combination of information from two detectors who both receive input about an event and evaluate it. The user's decisions are based on the output of the aid and on the information, the user obtains independently. We present a simple method for computing the maximal benefits a user can derive from a binary aid as a function of the user's and the aid's sensitivities. Combining the user and the aid often adds little to the performance the better detector could achieve alone. Also, if users assign non-optimal weights to the aid, performance may drop dramatically. Thus, the introduction of a valid aid can actually lower detection performance, compared to a more sensitive user working alone. Similarly, adding a user to a system with high sensitivity may lower its performance. System designers need to consider the potential adverse effects of introducing users or aids into systems.
