2016 49th Hawaii International Conference on System Sciences (HICSS) 2016
DOI: 10.1109/hicss.2016.53
|View full text |Cite
|
Sign up to set email alerts
|

Information Sharing for Collective Sensemaking

Abstract: Abstract-Group decision tasks that require pooling of information to reach the best decision have been studied across a variety of disciplines over the past thirty years. The crucial question of what makes these tasks so difficult, however remains unanswered. Various hypotheses include inefficiency in sharing information leading to decisions based on incomplete information or cognitive inefficiencies in processing and storing information arriving in a piecemeal fashion. The present study attacks this problem f… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2016
2016
2019
2019

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 7 publications
0
1
0
Order By: Relevance
“…Researchers have documented a variety of cognitive strategies and systematically examined the tradeoffs and shortcuts involved in overcoming fixed limits to human information processing capacities, such as attention bottlenecks and memory limitations (see Reitter and Lebiere, 2012 ). One of those tradeoffs and associated techniques is whether to share raw information, providing all the needed information at the cost of potentially overwhelming attentional demands, or high-level summaries and conclusions, requiring context-sensitive filtering and inference that may miss critical issues in the presence of information stovepipes (Tang et al, 2015 ).…”
Section: Discussionmentioning
confidence: 99%
“…Researchers have documented a variety of cognitive strategies and systematically examined the tradeoffs and shortcuts involved in overcoming fixed limits to human information processing capacities, such as attention bottlenecks and memory limitations (see Reitter and Lebiere, 2012 ). One of those tradeoffs and associated techniques is whether to share raw information, providing all the needed information at the cost of potentially overwhelming attentional demands, or high-level summaries and conclusions, requiring context-sensitive filtering and inference that may miss critical issues in the presence of information stovepipes (Tang et al, 2015 ).…”
Section: Discussionmentioning
confidence: 99%