A Second-Order Adaptive Network Model for Collective Emotional Response During Reward-Based Gaming

Harry Thavaganeshan*, Joy Wu, Jan Treur

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

In this paper, a second-order adaptive self-modelling network model is introduced to model collective emotional response during frequent repetitive reward-based gaming. The model makes use of organizational learning using sharing individual learning experiences over shared gaming experiences. Simulation showed relevant prediction of skill building affected by emotional responses and context factors concerning communication and listening. The dynamics of the model were verified and validated through mathematical verification and parameter tuning, resulting in a computational model with a potential of being a successful cornerstone for frequent repetitive reward-based gaming-related research.

Original languageEnglish
Title of host publicationProceedings of 7th International Congress on Information and Communication Technology
Subtitle of host publicationICICT 2022, London, Volume 4
EditorsXin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages299-311
Number of pages13
Volume4
ISBN (Print)9789811923968
DOIs
Publication statusPublished - 2023
Event7th International Congress on Information and Communication Technology, ICICT 2022 - Virtual, Online
Duration: 21 Feb 202224 Feb 2022

Publication series

NameLecture Notes in Networks and Systems
Volume465
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference7th International Congress on Information and Communication Technology, ICICT 2022
CityVirtual, Online
Period21/02/2224/02/22

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

  • Adaptive network model
  • Collective emotional response
  • Reward-based gaming

Fingerprint

Dive into the research topics of 'A Second-Order Adaptive Network Model for Collective Emotional Response During Reward-Based Gaming'. Together they form a unique fingerprint.

Cite this