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Information Sharing for Collective Sensemaking

Information Sharing for Collective Sensemaking
Information Sharing for Collective Sensemaking
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.
Tang, Yuqing
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Lebiere, Christian
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Sycara, Katia
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Morrison, Don
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Lewis, Michael
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Smart, Paul
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Tang, Yuqing
0b26bd4d-f1ab-40ab-8517-3dfc10767fa9
Lebiere, Christian
2d376f4e-98ba-45dc-819d-aec8c5f69ca5
Sycara, Katia
df200c43-d34d-4093-bb4e-493fea2d0732
Morrison, Don
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Lewis, Michael
f046ffc3-6d03-4a51-9c3d-fa8fa6a01473
Smart, Paul
cd8a3dbf-d963-4009-80fb-76ecc93579df

Tang, Yuqing, Lebiere, Christian, Sycara, Katia, Morrison, Don, Lewis, Michael and Smart, Paul (2016) Information Sharing for Collective Sensemaking. Hawaii International Conference on System Sciences, Kauai, Hawaii, United States. 05 - 08 Jan 2016. 9 pp . (doi:10.1109/HICSS.2016.53).

Record type: Conference or Workshop Item (Paper)

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 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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Published date: 5 January 2016
Venue - Dates: Hawaii International Conference on System Sciences, Kauai, Hawaii, United States, 2016-01-05 - 2016-01-08
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 382576
URI: http://eprints.soton.ac.uk/id/eprint/382576
PURE UUID: 790268c0-bcef-4913-9287-d88353b373d7
ORCID for Paul Smart: ORCID iD orcid.org/0000-0001-9989-5307

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Date deposited: 06 Oct 2015 17:48
Last modified: 15 Mar 2024 03:15

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Contributors

Author: Yuqing Tang
Author: Christian Lebiere
Author: Katia Sycara
Author: Don Morrison
Author: Michael Lewis
Author: Paul Smart ORCID iD

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