Group affect in complex decision-making: theory and formalisms from psychology and computer science

Amine Chohra; Kurosh Madani; Chantal Natalie van der Wal

doi:10.1007/978-3-319-98446-9_21

Group affect in complex decision-making: theory and formalisms from psychology and computer science

Amine Chohra^*
, Kurosh Madani
, Chantal Natalie van der Wal

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	Computational Collective Intelligence
Subtitle of host publication	10th International Conference, ICCCI 2018, Proceedings
Editors	Ngoc Thanh Nguyen, Bogdan Trawinski, Elias Pimenidis, Zaheer Khan
Publisher	Springer/Verlag
Pages	222-233
Number of pages	12
Volume	2
ISBN (Electronic)	9783319984469
ISBN (Print)	9783319984452
DOIs	https://doi.org/10.1007/978-3-319-98446-9_21
Publication status	Published - 2018
Event	10th International Conference on Computational Collective Intelligence, ICCCI 2018 - Bristol, United Kingdom Duration: 5 Sept 2018 → 7 Sept 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11056 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on Computational Collective Intelligence, ICCCI 2018
Country/Territory	United Kingdom
City	Bristol
Period	5/09/18 → 7/09/18

Funding

Part of this work belongs to a project which received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 748647. Acknowledgements. Part of this work belongs to a project which received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 748647.

Funders	Funder number
Marie Sklodowska-Curie
Horizon 2020 Framework Programme	748647
Horizon 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Affect (moods, emotions, feelings)
Complex systems
Computer science
Individual and collective decision-making
Psychology

Access to Document

10.1007/978-3-319-98446-9_21

Persistent URL (handle)

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Cite this

Chohra, A., Madani, K., & van der Wal, C. N. (2018). Group affect in complex decision-making: theory and formalisms from psychology and computer science. In N. T. Nguyen, B. Trawinski, E. Pimenidis, & Z. Khan (Eds.), Computational Collective Intelligence: 10th International Conference, ICCCI 2018, Proceedings (Vol. 2, pp. 222-233). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11056 LNAI). Springer/Verlag. https://doi.org/10.1007/978-3-319-98446-9_21

Chohra, Amine ; Madani, Kurosh ; van der Wal, Chantal Natalie. / Group affect in complex decision-making : theory and formalisms from psychology and computer science. Computational Collective Intelligence: 10th International Conference, ICCCI 2018, Proceedings. editor / Ngoc Thanh Nguyen ; Bogdan Trawinski ; Elias Pimenidis ; Zaheer Khan. Vol. 2 Springer/Verlag, 2018. pp. 222-233 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

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author = "Amine Chohra and Kurosh Madani and \{van der Wal\}, \{Chantal Natalie\}",

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doi = "10.1007/978-3-319-98446-9\_21",

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Chohra, A, Madani, K & van der Wal, CN 2018, Group affect in complex decision-making: theory and formalisms from psychology and computer science. in NT Nguyen, B Trawinski, E Pimenidis & Z Khan (eds), Computational Collective Intelligence: 10th International Conference, ICCCI 2018, Proceedings. vol. 2, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11056 LNAI, Springer/Verlag, pp. 222-233, 10th International Conference on Computational Collective Intelligence, ICCCI 2018, Bristol, United Kingdom, 5/09/18. https://doi.org/10.1007/978-3-319-98446-9_21

Group affect in complex decision-making: theory and formalisms from psychology and computer science. / Chohra, Amine; Madani, Kurosh; van der Wal, Chantal Natalie.
Computational Collective Intelligence: 10th International Conference, ICCCI 2018, Proceedings. ed. / Ngoc Thanh Nguyen; Bogdan Trawinski; Elias Pimenidis; Zaheer Khan. Vol. 2 Springer/Verlag, 2018. p. 222-233 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11056 LNAI).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Group affect in complex decision-making

T2 - 10th International Conference on Computational Collective Intelligence, ICCCI 2018

AU - Chohra, Amine

AU - Madani, Kurosh

AU - van der Wal, Chantal Natalie

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Affect (moods, emotions, feelings)

KW - Complex systems

KW - Computer science

KW - Individual and collective decision-making

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Chohra A, Madani K, van der Wal CN. Group affect in complex decision-making: theory and formalisms from psychology and computer science. In Nguyen NT, Trawinski B, Pimenidis E, Khan Z, editors, Computational Collective Intelligence: 10th International Conference, ICCCI 2018, Proceedings. Vol. 2. Springer/Verlag. 2018. p. 222-233. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2018 Aug 8. doi: 10.1007/978-3-319-98446-9_21

Group affect in complex decision-making: theory and formalisms from psychology and computer science

Abstract

Publication series

Conference

Funding

UN SDGs

Keywords

Access to Document

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