An adaptive cognitive temporal-causal network model of a mindfulness therapy based on music

S. Sahand Mohammadi Ziabari, Jan Treur*

*Corresponding author for this work

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

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Abstract

In this paper the effect of a music therapy is modeled based on a Network-Oriented Modeling approach. Music therapy is a mindfulness therapy used since many years ago. The presented adaptive temporal-causal network model addresses music therapy for a person who in a first phase develops an extreme stressful emotion due to an ongoing stressful event. In a second phase, music therapy is considered to reduce the stress. This happens by playing memorable music first and then singing on that music. The music and the singing have a direct relaxing effect on the body. Hebbian learning is incorporated to increase the effect of the therapy.

Original languageEnglish
Title of host publicationIntelligent Human Computer Interaction
Subtitle of host publication10th International Conference, IHCI 2018, Proceedings
EditorsUma Shanker Tiwary
PublisherSpringer - Verlag
Pages180-193
Number of pages14
ISBN (Electronic)9783030040215
ISBN (Print)9783030040208
DOIs
Publication statusPublished - 2018
Event10th International Conference on Intelligent Human Computer Interaction, IHCI 2018 - Allahabad, India
Duration: 7 Dec 20189 Dec 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11278 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Intelligent Human Computer Interaction, IHCI 2018
CountryIndia
CityAllahabad
Period7/12/189/12/18

Keywords

  • Cognitive temporal-causal network model
  • Extreme emotion
  • Hebbian learning
  • Mindfulness
  • Music therapy

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