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TagRefinery: A Visual Tool for Tag Wrangling

Abstract

We present TagRefinery, an interactive visual application aiding the cleaning and processing of open tag spaces, such as those in Last.fm or YouTube. Our pre-design analysis showed a need to support a spectrum of user expertise from novice to advanced, which resulted in two distinct interface modes. Summative evaluations of TagRefinery showed that it could effectively guide the novice users through the workflow by giving them brief but helpful explanations on why each step was required, and providing visual and statistical aids to help them in making important decisions. This is while our more expert users greatly appreciated the amount of control and granularity over the workflow that our more advanced interface mode offered. Both the underlying tag cleaning workflow and the interface were designed iteratively in a participatory design process in collaboration with research on a music recommendation interface based on Last.fm tags.

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Additional Information

[to appear]

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Supplemental Material

Appendix, Screenshots etc.

Citation
Category
Paper in Conference Proceedings or in Workshop Proceedings (Full Paper in Proceedings)
Event Title
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
Divisions
Visualization and Data Analysis
Event Location
Colorado Convention Center, Denver, CO
Event Type
Conference
Event Dates
May 6-11, 2017
Date
May 2017
Official URL
http://dx.doi.org/10.1145/3025453.3025868
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