Formal analysis of temporal dynamics in anxiety states and traits for virtual patients

Autor: Farzana Kabir Ahmad, Azizi Ab Aziz, Shahrul Azmi Mohd Yusof, Nooraini Yusof, Faudziah Ahmad
Rok vydání: 2016
Předmět:
Zdroj: AIP Conference Proceedings.
ISSN: 0094-243X
DOI: 10.1063/1.4960841
Popis: This paper presents a temporal dynamic model of anxiety states and traits for an individual. Anxiety is a natural part of life, and most of us experience it from time to time. But for some people, anxiety can be extreme. Based on several personal characteristics, traits, and a representation of events (i.e. psychological and physiological stressors), the formal model can represent whether a human that experience certain scenarios will fall into an anxiety states condition. A number of well-known relations between events and the course of anxiety are summarized from the literature and it is shown that the model exhibits those patterns. In addition, the formal model has been mathematically analyzed to find out which stable situations exist. Finally, it is pointed out how this model can be used in therapy, supported by a software agent.
Databáze: OpenAIRE