WebDiP: A tool for information search experiments on the World-Wide Web

被引：0
|
作者：
Michael Schulte-Mecklenbeck
Moritz Neun
机构：
[1] University of Zürich,Business School
[2] Columbia University,undefined
来源：
Behavior Research Methods | 2005年 / 37卷
关键词：
Information Search; Information Item; Maximal Frequent Itemset; Multiple Submission; Task Text;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We describe WebDiP (Web Decision Processes)—an open-source, online tool—which enables a researcher to track participants while they search for information in a database, available through the Internet. After various instructions on setup and configuration are given, a detailed view of WebDiP explains the system’s technical features. Furthermore, other open-source tools are mentioned that helped in programming WebDiP, running it, or analyzing data gathered with it. We present new approaches of how open-source thinking can be incorporated into a research process and discuss future perspectives of WebDiP.
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页码：293 / 300
页数：7
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