A Brain-Inspired Cognitive Support Model for Stress Reduction based on an Adaptive Network Model

Andrei Andrianov, Seyed Sahand Mohammadi Ziabari, Charlotte Gerritsen

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Stress is often seen as a negative factor which affects every individual’s life quality and decision making. To help avoid or deal with extreme emotions caused by an external stressor, a number of practices have been introduced. In the scope of this paper, we take three kinds of therapy into account: mindfulness, humor, and music therapy. This paper aims to see how various practices help people to cope with stress, using mathematical modelling. We present practical implementations in the form of client–server software, incorporating the computational model which describes therapy effects for overcoming stress based on quantitative neuropsychological research. The underlying network model simulates the elicitation of an extremely stressful emotion due to a strong stress-inducing event as an external stimulus, followed by a therapy practice simulation leading to a reduction of the stress level. Each simulation is based on user input and preferences, integrating a parameter tuning process; it fits a simulation for a particular user. The client–server architecture software which has been designed and developed completely fulfills this objective. It includes server part with embedded MATLAB interaction and API for client communication.
Original languageEnglish
Pages (from-to)151-166
Number of pages17
JournalCognitive Systems Research
Volume65
Early online date10 Nov 2020
DOIs
Publication statusPublished - Jan 2021

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