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Suitable notification intensity: the dynamic awareness system
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Conference on Supporting Group Work archive
Proceedings of the 2007 international ACM conference on Supporting group work table of contents
Sanibel Island, Florida, USA
SESSION: Awareness and co-presence table of contents
Pages 99-106  
Year of Publication: 2007
ISBN:978-1-59593-845-9
Authors
Yao Wang  Fraunhofer FIT, Sankt Augustin, Germany
Wolfgang Gräther  Fraunhofer FIT, Sankt Augustin, Germany
Wolfgang Prinz  Fraunhofer FIT, Sankt Augustin, Germany
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

Being aware of others' activities has played a vital role in the success of online collaboration. This resulted in the emergence of many groupware systems that provide users with information about the activities of their collaborators in various manners. In virtually all current groupware systems, users are often overburdened by large amounts of unnecessary activity information. This happens because users are most of the time only interested in certain pieces of information for limited durations, while presently there exist no efficient mechanisms for automatically following a user's focus and adjusting the information flow directed at her/him. In this paper we present as a practical solution to this critical problem the dynamic awareness system, which extends the functionality of the BSCW shared workspace system. Key element of the dynamic awareness system is its rule-based inference mechanism to adjust the notification intensity, which reduces the information overload and indirectly allows users to better keep track of relevant events, as well as to manage more efficiently large amounts of shared information. We tested the effectiveness of the dynamic awareness system under real-life circumstances and describe the evaluation results.


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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Collaborative Colleagues:
Yao Wang: colleagues
Wolfgang Gräther: colleagues
Wolfgang Prinz: colleagues