| Collaborative editing of micro-tags |
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Conference on Human Factors in Computing Systems
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Proceedings of the 27th international conference extended abstracts on Human factors in computing systems
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Boston, MA, USA
SESSION: Spotlight on work in progress session 2
table of contents
Pages 4297-4302
Year of Publication: 2009
ISBN:978-1-60558-247-4
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Authors
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Mercan Topkara
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IBM T. J. Watson Research Center, Hawthorne, NY, USA
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Bernice Rogowitz
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IBM T. J. Watson Research Center, Hawthorne, NY, USA
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Steve Wood
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IBM T. J. Watson Research Center, Hawthorne, NY, USA
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Jeff Boston
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IBM T. J. Watson Research Center, Hawthorne, NY, USA
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Downloads (6 Weeks): 10, Downloads (12 Months): 68, Citation Count: 0
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ABSTRACT
This paper introduces the InSight system, which was designed to explore two new concepts in social tagging. In this system, we introduce the concept of community-editable tags, a methodology that allows a community of users to edit, modify and delete tags of each other. The goal is to improve the quality of tags, and to reduce the proliferation of incorrect or incomplete tags often found in social networking systems. We also explore the concept of "micro-tagging," which has begun to appear in web-based applications. In "micro-tagging," the user attaches a tag to a subset of large media, such as a segment in a video or a region of an image. InSight allows users to create and edit video micro-tags. Users can mark specific time intervals within a video, and specific spatial locations within video frames, and these tags can be edited by subsequent users. We also present an empirical study which demonstrates an improvement in factual tag quality when the community of users is allowed to edit and delete each others' tags. These results provide a first step in demonstrating how refining tags would make them more valuable for search.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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