Paper Info
Title
Effects of implicit sharing in collaborative analysis
Abstract
When crime analysts collaborate to solve crime cases, they need to share insights in order to connect the clues, identify a pattern, and attribute the crime to the right culprit. We designed a collaborative analysis tool to explore the value of implicitly sharing insights and notes, without requiring analysts to explicitly push information or request it from each other. In an experiment, pairs of remote individuals played the role of crime analysts solving a set of serial killer crimes with both partners having some, but not all, relevant clues. When implicit sharing of notes was available, participants remembered more clues related to detecting the serial killer, and they perceived the tool as more useful compared to when implicit sharing was not available.
Year
DOI
Venue
2014
10.1145/2556288.2557229
CHI
Keywords
Field
DocType
collaborative analysis tool,implicit sharing,right culprit,crime case,serial killer,remote individual,crime analyst,relevant clue,serial killer crime,share insight
World Wide Web,Computer science,Sensemaking
Conference
Citations 
PageRank 
References 
12
0.59
27
Authors
4
Name
Order
Citations
PageRank
Nitesh Goyal1514.98
Gilly Leshed249632.06
Dan Cosley33239260.74
Susan R. Fussell42266208.15