Distributed sensemaking: improving sensemaking by leveraging the efforts of previous users

Authors:
Kristie Fisher;Scott Counts;Aniket Kittur
Affiliations:
Microsoft, Redmond, Washington, United States;Microsoft Research, Redmond, Washington, United States;Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Venue:
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Year:
2012

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Abstract

We examine the possibility of distributed sensemaking: improving a user's sensemaking by leveraging previous users' work without those users directly collaborating or even knowing one another. We asked users to engage in sensemaking by organizing and annotating web search results into "knowledge maps," either with or without previous users' maps to work from. We also recorded gaze patterns as users examined others' knowledge maps. Our findings show the conditions under which distributed sensemaking can improve sensemaking quality; that a user's sensemaking process is readily apparent to a subsequent user via a knowledge map; and that the organization of content was more useful to subsequent users than the content itself, especially when those users had differing goals. We discuss the role distributed sensemaking can play in schema induction by helping users make a mental model of an information space and make recommendations for new tool and system development.