Chohra, A, Madani, K and Van Der Wal, CN orcid.org/0000-0002-0010-8447 (2018) Group Affect in Complex Decision-Making: Theory and Formalisms from Psychology and Computer Science. In: Nguyen, NT, Pimenidis, E, Khan, Z and Trawiński, B, (eds.) Lecture Notes in Computer Science. ICCCI 2018: 10th International Conference on Computational Collective Intelligence, 05-07 Sep 2018, Bristol, UK. Springer Verlag , pp. 222-233. ISBN 978-3-319-98445-2
Abstract
Integrating affect in both individual and collective decision-making processes in order to solve real-world problems can be challenging. This research aims to: (1) investigate how group affect (moods, emotions, and feelings) can be integrated and formalized in the decision-making processes; (2) develop current practices; and (3) draw ideas for future perspectives and real-world applications. For this purpose, the role of affect in decision-making is investigated on the individual behavior level, emotional intelligence, and the collective behavior level. The used methodology consists of exploring and investigating the main characteristics developed in group affect in complex decision-making systems from psychology to computer science. From this, a common global structure is deduced: individual processes, group processes and emerging processes (bottom-up, top-down, and combination of bottom-up and top-down components). Following this, one psychological model and two computational models of group emotion and decision are analyzed, and discussed. Their different approaches to developing the main characteristics of a computational model integrating group affect in the decision-making process are highlighted. Finally, specific scenarios of real-world applications are presented in order to draw interesting and promising computational model perspectives.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018, Springer Nature Switzerland AG. This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Computer Science. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-98446-9_21. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Complex systems; Affect (moods, emotions, feelings); Individual and collective decision-making; Psychology; Computer science |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Management Division Organizational Behaviour (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 Jul 2018 10:57 |
Last Modified: | 12 Mar 2019 15:53 |
Status: | Published |
Publisher: | Springer Verlag |
Identification Number: | 10.1007/978-3-319-98446-9_21 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:133244 |