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Mood Support: A Personalized Intelligent Support Assignment System Using an Agent-Based Dynamic Configuration Model

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Advances and Trends in Artificial Intelligence. From Theory to Practice (IEA/AIE 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12799))

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Abstract

Social support is often labelled as a critical component of solid relationships and vital psychological health. It involves having a network of family and friends that persons can turn to in times of need. Scientific study has also shown the link between social relationships and several health and wellness aspects where poor social support has been linked to depression. However, many conditions can make seeking help hard for various reasons. Also, assigning incorrect support will create a burden for both support providers and recipients. This paper addresses how a social support network can be formed, taking the support recipient’s needs and potential support providers’ possibilities into account. To do so, previous work on agent-based computational models about support preferences and provision was used as a basis in a dynamic configuration support assignment.

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Authors and Affiliations

  1. Relational Machines Group, Human-Centred Computing Lab, School of Computing, Universiti Utara Malaysia, 06010, Sintok, Kedah, Malaysia

    Azizi Ab Aziz, Roqia Rateb & Arya Muhammad Bimo

Authors
  1. Azizi Ab Aziz
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  2. Roqia Rateb
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  3. Arya Muhammad Bimo
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Corresponding author

Correspondence to Azizi Ab Aziz .

Editor information

Editors and Affiliations

  1. i-SOMET Incorporate Association, Morioka, Japan

    Hamido Fujita

  2. Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

    Ali Selamat

  3. Western Norway University of Applied Sciences, Bergen, Norway

    Jerry Chun-Wei Lin

  4. Texas State University San Marcos, San Marcos, TX, USA

    Moonis Ali

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Ab Aziz, A., Rateb, R., Bimo, A.M. (2021). Mood Support: A Personalized Intelligent Support Assignment System Using an Agent-Based Dynamic Configuration Model. In: Fujita, H., Selamat, A., Lin, J.CW., Ali, M. (eds) Advances and Trends in Artificial Intelligence. From Theory to Practice. IEA/AIE 2021. Lecture Notes in Computer Science(), vol 12799. Springer, Cham. https://doi.org/10.1007/978-3-030-79463-7_34

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  • DOI: https://doi.org/10.1007/978-3-030-79463-7_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-79462-0

  • Online ISBN: 978-3-030-79463-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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