An agent-based model for the role of social support in mood regulation

A. H. Abro, M. Klein, S. A. Tabatabaei

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

3 Scopus citations

Abstract

In this paper, a computational model of a human agent is presented which describes the effect of social support on mood. According to the literature, social support can either refer to the social resources that individuals perceive to be available or to the support that is actually provided in problematic situations. The proposed model distinguishes between both roles of social support. Simulation experiments are done to analyze the effect of the different types of support in different scenarios. It is shown that support can help to reduce the induced stress and thus can contribute to healthy mood regulation and prevention of depression. This presented model provides a basis for an intelligent support system for people with mood regulation problems that take the social network of people into account.

Original languageEnglish
Title of host publicationHighlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection
Subtitle of host publicationInternational Workshops of PAAMS 2015, Proceedings
EditorsVicente Julian, Vicente Botti, Javier Bajo, Nayat Sánchez-Pi, Pawel Pawlewski, Néstor Darío Duque Méndez, Fernando Lopes, Kasper Hallenborg
PublisherSpringer Verlag
Pages15-27
Number of pages13
ISBN (Electronic)9783319190327
DOIs
StatePublished - 2015
EventInternational Workshops on Practical Applications of Agents, Multi-Agent Systems, and Sustainability, PAAMS 2015 - Salamanca, Spain
Duration: Jun 3 2015Jun 4 2015

Publication series

NameCommunications in Computer and Information Science
Volume524
ISSN (Print)1865-0929

Conference

ConferenceInternational Workshops on Practical Applications of Agents, Multi-Agent Systems, and Sustainability, PAAMS 2015
Country/TerritorySpain
CitySalamanca
Period06/3/1506/4/15

Keywords

  • Human ambient agent
  • Social support
  • Stress buffering

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