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Characterizing the Usability of Interactive Applications Through Query Log Analysis
| Citations: | 9 - 6 self |
BibTeX
@MISC{Fourney_characterizingthe,
author = {Adam Fourney and Richard Mann and Michael Terry},
title = {Characterizing the Usability of Interactive Applications Through Query Log Analysis},
year = {}
}
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Abstract
People routinely rely on Internet search engines to support their use of interactive applications, making query logs a rich source of data cataloguing the day-to-day tasks and needs of a user base. In this paper, we introduce an automated process for harvesting, ordering, labeling, and grouping search queries related to any publicly available interactive system. The end result is a data set that can complement and augment data collected through traditional usability methods. We call this process CUTS—characterizing usability through search. The labeled, ordered data produced by CUTS can be assembled in minutes, is timely, has a high degree of ecological validity, and is arguably less prone to self-selection bias than traditional usability methods. We describe this process and demonstrate applications of its use with a handful of interactive systems.
Keyphrases
interactive application query log analysis traditional usability method automated process available interactive system day-to-day task user base self-selection bias end result demonstrate application interactive system high degree process cut characterizing usability data set internet search engine search query ecological validity rich source
