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Most information retrieval
technologies are designed to facilitate information discovery. However,
much knowledge work involves finding and re-using previously seen
information in the context of ongoing work activities. An overview of
techniques that people currently use to support re-access will be presented,
and usage experiences with the "Stuff I’ve Seen" desktop search prototype
that provides unified access to a wide range of heterogeneous information
that a person has previously seen (email, web pages, files, news,
appointments) will be summarized.
Key
finding include the importance of time and people as retrieval cues, and the
importance of metadata in supporting interactive retrieval. Alternative
presentation techniques that leverage rich contextual cues such as timelines
and memory landmarks are promising alternatives to the long ranked lists of
search results that we are all familiar with. Richer personalized and
contextualized information retrieval capabilities can also supported using
this infrastructure.
Bio:
Susan Dumais is a Senior Researcher in the Adaptive Systems and
Interaction Group at Microsoft Research. She has been at Microsoft Research
since 1997 and has published widely in the areas of human-computer
interaction and information retrieval. Her current research focuses on
personal information retrieval, novel interfaces for interactive retrieval,
user modeling, relevance measurement, text categorization, and collaborative
information retrieval. Her research in information management has
influenced several Microsoft products including Windows Desktop Search, MSN
Search, Longhorn Search, SharePoint Portal Server, and Office Help. Prior
to joining Microsoft Research, she was at Bellcore and Bell Labs for many
years. Previous research included well-known work on Latent Semantic
Indexing (a statistical method for concept-based retrieval), combining
search and navigation, individual differences, and organizational impacts of
new technology.
Susan has published more than 170 articles in the fields of information
science, human-computer interaction, and cognitive science, and holds
several patents on novel retrieval algorithms and interfaces. Susan is
Past-Chair of ACM's Special Interest Group in Information Retrieval (SIGIR),
and served on the NRC Committee on Computing and Communications Research to
Enable Better Use of Information Technology in Digital Government, and the
NRC Board on Assessment of NIST Programs. She is on the editorial boards of
ACM: Transactions on Information Systems, ACM: Transactions on Human
Computer Interaction, Human Computer Interaction, Information Processing and
Management, Information Retrieval, New Review of Hypermedia and Multimedia,
and the Annual Review of Information Science and Technology, an associate
editor for the first and second editions of the Handbook of Applied
Cognition, and on program committees for several conferences. She was
elected to the CHI Academy in 2004. Susan is an adjunct professor in the
Information School at the University of Washington, and has been a visiting
faculty member at Stevens Institute of Technology, New York University, and
the University of Chicago.
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