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Information sharing for collective sensemaking

Tang, Y and Lebiere, C and Sycara, K and Morrison, D and Lewis, M and Smart, P (2016) Information sharing for collective sensemaking. In: UNSPECIFIED.

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Abstract

© 2016 IEEE. 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 from two directions. Human experiments are used to compare decisions between groups manipulated to receive and share information in raw and aggregated forms and mixed groups comprised of humans and software agents. To shed light on cognitive limitations that may affect performance, an ACT-R cognitive model of group members was constructed and its results compared to human data.


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Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Tang, Y
Lebiere, C
Sycara, K
Morrison, D
Lewis, M
Smart, P
Date: 7 March 2016
Date Type: Publication
Journal or Publication Title: Proceedings of the Annual Hawaii International Conference on System Sciences
Volume: 2016-M
Page Range: 377 - 385
Event Type: Conference
DOI or Unique Handle: 10.1109/hicss.2016.53
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9780769556703
ISSN: 1530-1605
Date Deposited: 28 Jun 2016 14:14
Last Modified: 08 Dec 2017 14:56
URI: http://d-scholarship.pitt.edu/id/eprint/28440

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