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Group Affect in Complex Decision-Making: Theory and Formalisms from Psychology and Computer Science

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Computational Collective Intelligence (ICCCI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11056))

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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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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.

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Authors and Affiliations

  1. Images, Signals, and Intelligent Systems Laboratory (LISSI/EA 3956), Paris-East University (UPEC), Paris, France

    Amine Chohra & Kurosh Madani

  2. Centre for Decision Research, Leeds University Business School, Leeds, UK

    Chantal Natalie van der Wal

  3. Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands

    Chantal Natalie van der Wal

Authors
  1. Amine Chohra
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  2. Kurosh Madani
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  3. Chantal Natalie van der Wal
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Corresponding author

Correspondence to Amine Chohra .

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Editors and Affiliations

  1. Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Ngoc Thanh Nguyen

  2. Department of Computer Science and Creative Technologies, University of the West of England, Bristol, United Kingdom

    Elias Pimenidis

  3. Department of Computer Science and Creative Technologies, University of the West of England, Bristol, United Kingdom

    Zaheer Khan

  4. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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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: Nguyen, N., Pimenidis, E., Khan, Z., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2018. Lecture Notes in Computer Science(), vol 11056. Springer, Cham. https://doi.org/10.1007/978-3-319-98446-9_21

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  • DOI: https://doi.org/10.1007/978-3-319-98446-9_21

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