A sensemaking-supporting information gathering system

Authors:
Yan Qu
Affiliations:
University of Michigan, Ann Arbor, MI
Venue:
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Year:
2003

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Abstract

This paper introduces a sensemaking-supporting information gathering system (SSIGS), which provides a workspace with features that not only facilitate information search but also the representation search and representation shift which are crucial for sensemaking tasks.