Title:
Analyzing and Visualizing Log Files: A Computational Science of Usability

dc.contributor.author Guzdial, Mark
dc.contributor.author Santos, Paulo J.
dc.contributor.author Badre, Albert N.
dc.contributor.author Hudson, Scott E.
dc.contributor.author Gray, Mark H.
dc.date.accessioned 2004-11-09T18:14:02Z
dc.date.available 2004-11-09T18:14:02Z
dc.date.issued 1994
dc.description.abstract Researchers in human-computer interactions know that software can easily be instrumented to create a trace of user events in the interface (which we call a log file) for later analysis. Using these data for studying usability or other HCI questions is certainly attractive. The data are cheap - data gathering is totally automatic. The data are gathered discretely, so the possibility of a Hawthorne effect is diminished. Data can be collected outside the laboratory, while the user is engaged in real tasks, so the results have greater ecological validity. The problem has always been what to do with the volume of data that gets generated. With so much data, it's difficult to determine what's useful and how to display the useful portion in a meaningful way. en
dc.format.extent 3562 bytes
dc.format.extent 100357 bytes
dc.format.extent 24851 bytes
dc.format.mimetype application/pdf
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dc.identifier.uri http://hdl.handle.net/1853/3586
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en
dc.relation.ispartofseries GVU Technical Report;GIT-GVU-94-08
dc.subject Visualization en
dc.subject Usability en
dc.subject Log files en
dc.subject Human-computer interaction en
dc.subject Computer modeling en
dc.subject Computer simulation en
dc.title Analyzing and Visualizing Log Files: A Computational Science of Usability en
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.corporatename GVU Center
local.relation.ispartofseries GVU Technical Report Series
relation.isOrgUnitOfPublication d5666874-cf8d-45f6-8017-3781c955500f
relation.isSeriesOfPublication a13d1649-8f8b-4a59-9dec-d602fa26bc32
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