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Abstract
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Human experimentation is a necessity for many disciplines from cognitive science to usability testing. Gigabytes of data are often collected during a typical study. In most cases, especially in complex task environments, it is up to the researcher to develop the data extraction tools necessary to make sense of the data. We have developed ProtoMatch (Myers & Schoelles, 2005) as a general-purpose tool for transforming and extracting logged data into information of interest to cognitive scientists, eliminating the need to rewrite these tools. As log file formats are often not uniform, ProtoMatch provides a form-based interface that enables the parsing of logged data into Object, User, and Event data (Schoelles, Zafrina, & Gray, 2007).
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