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NusEye: designing for social navigation in syndicated content
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Source Richard Tapia Celebration Of Diversity In Computing archive
Proceedings of the 2005 conference on Diversity in computing table of contents
Albuquerque, New Mexico, USA
SESSION: Collaborative environments table of contents
Pages: 17 - 19  
Year of Publication: 2005
ISBN:1-59593-257-7
Authors
Azzari C. Jarrett  Northwestern University
Brian M. Dennis  Northwestern University
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

The design of NusEye, an online system for social navigation in syndicated content is presented. NusEye is an information system for syndicated content which is extended to support the collaborative activity of users, also known as social navigation. Dourish and Chalmers [1] define social navigation as provoking a user to move through an information space guided by the activity of others in that space. NusEye augments syndicated content with social navigation. NusEye allows users to apply ad-hoc keywords, or tags, to sources of Web syndicated information. Applied tags are visible to all users in the system. NusEye can identify the most popular tags and webfeeds. The entire community benefits from the aggregation and collective tagging efforts of each individual by being able to search tags and/or users in order to find new webfeed sources. Furthermore, NusEye offers special content analysis based on keyword tags. Users can apply various dynamically updated analyses on the content generated by groups of sources. The major points of design include the selection of an interface in which social communities and networks can form from the use of tags, content analysis that is beneficial for syndicated content, and the presentation of analysis results. A prototype version of NusEye has been built and is currently being used to test and explore the concept of social navigation in syndicated content.



Collaborative Colleagues:
Azzari C. Jarrett: colleagues
Brian M. Dennis: colleagues