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Collaborative feed reading in a community
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Conference on Supporting Group Work archive
Proceedings of the ACM 2009 international conference on Supporting group work table of contents
Sanibel Island, Florida, USA
SESSION: Collaborative management table of contents
Pages 277-280  
Year of Publication: 2009
ISBN:978-1-60558-500-0
Authors
Netta Aizenbud-Reshef  IBM Haifa Research Lab, Haifa, Israel
Ido Guy  IBM Haifa Research Lab, Haifa, Israel
Michal Jacovi  IBM Haifa Research Lab, Haifa, Israel
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Feed readers have emerged as one of the salient applications that characterize Web 2.0. Lately, some of the available readers introduced social features, analogously to other Web 2.0 applications, such as recommendations and tagging. Yet, most of the readers lack collaborative features, such as the ability to share feeds in a community or divide the reading task among community members. In this paper we describe CoffeeReader, a web-based feed reader, which combines social and collaborative features, and is deployed in a small community within our company. CoffeeReader provides awareness of other users' feed lists and read status; it enables information sharing such as tags and recommendations; and aims to support coordination of filtering through feeds to locate important items. We compare these group collaboration features of CoffeeReader with emerging features in publicly available feed readers; present the outcomes of using CoffeeReader within our community; and discuss our findings and their implications on making feed readers more collaborative.


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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Atom Specification. http://tools.ietf.org/html/rfc5023/.
 
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Bloglines. http://www.bloglines.com/.
 
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Bergamaschi, S., Guerra, F., Orsini, M., Sartori, C., and Vincini, M., RELEVANTNews: a semantic news feed aggregator. Proc. Italian Semantic Web Workshop 2007.
 
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GoogleReader. http://www.google.com/reader/.
 
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Gregarious. http://gregarius.net/.
 
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Gritwire. http://my.gritwire.com/.
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NewsGator. http://www.newsgator.com/.
 
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RSS Specification. http://www.rssboard.org/rss-specification/.
 
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Shyftr. http://www.shyftr.com/.
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Collaborative Colleagues:
Netta Aizenbud-Reshef: colleagues
Ido Guy: colleagues
Michal Jacovi: colleagues