AskSheet: efficient human computation for decision making with spreadsheets
AskSheet: efficient human computation for decision making with spreadsheets
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AskSheet：使用电子表格进行高效的人工计算决策
DOI：
10.1145/2531602.2531728
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
B. Bederson
中科院分区：
文献类型：
--
作者：
Alexander J. Quinn;B. Bederson
网上丰富的资源为个人和企业提供了前所未有的海量信息，帮助他们做出决策。然而，找到一个重要决策所需的许多细节可能是非常耗费人力的。我们介绍了AskSheet，一个利用人工计算来获取用户提供的任意决策电子表格输入的通用系统。关键的创新是通过分析用户的电子表格公式来计算每个空白的信息价值，从而确定输入的优先级。通过指导员工找到对最终结果影响最大的细节，它可以在不收集所有输入的情况下得出一个决定性的决定。
The wealth of resources online has empowered individuals and businesses with an unprecedented volume of information to aid in decision making processes. However, finding the many details needed for a non-trivial decision can be very labor-intensive. We present AskSheet, a general system that leverages human computation to acquire the inputs to an arbitrary decision spreadsheet provided by the user. The key innovation is the ability to prioritize the inputs by analyzing the user's spreadsheet formulas to calculate value of information for each of the blanks. By directing workers to find the details that impact the end result most, it results in a conclusive decision without gathering all of the inputs.