Artificial Intelligence Lab, Department of MIS, University of Arizona / Observations of Information Retrieval (IR) system user
experiences reveal a strong desire for collaborative search
while at the same time suggesting that collaborative
capabilities are rarely, and then only in a limited fashion,
supported by current searching and visualization tools.
Equally interesting is the fact that observations of user
experiences with Group Support Systems (GSS) reveal that
although access to external information and the ability to
search for relevant material is often vital to the progress of
GSS sessions, integrated support for collaborative searching
and visualization of results is lacking in GSS systems. After
reviewing both user experiences described in IR and GSS
literature and observing and interviewing users of existing
IR and GSS commercial and prototype systems, the authors
conclude that there is an obvious demand for systems
supporting multi-user IR.. It is surprising to the authors that
very little attention has been given to the common ground
shared by these two important research domains. With this
in mind, our paper describes how user experiences with IR
and GSS systems has shed light on a promising new area of
collaborative research and led to the development of a
prototype that merges the two paradigms into a
Collaborative Information Retrieval Environment (CIRE).
Finally the paper presents theory developed from initial user
experiences with our prototype and describes plans to test
the efficacy of this new paradigm empirically through
controlled experimentation.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/105688 |
| Date | January 1999 |
| Creators | Romano, Nicholas C., Roussinov, Dmitri G., Nunamaker, Jay F., Chen, Hsinchun |
| Publisher | HICSS |
| Source Sets | University of Arizona |
| Language | English |
| Detected Language | English |
| Type | Conference Paper |
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