A COMPUTATIONAL MODEL OF TEMPORAL DYNAMICS FOR ANXIETY IN INTERVIEWEE MENTAL STATE

Anxiety is an aversive motivational state that occurs when an individual perceives threat at events. This condition creates harmful effects for candidates during interview sessions. An interviewee overwhelmed in such a state deploys worry as a resource to cope with the threat hence losing the abilit...

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Autores principales: Naseer Sanni Ajoge, Azizi Ab Aziz, Shahrul Azmi Mohd Yusof
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Lenguaje:EN
Publicado: UUM Press 2020
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Acceso en línea:https://doaj.org/article/8ee54fbbd23544c089a49a811bc306d7
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spelling oai:doaj.org-article:8ee54fbbd23544c089a49a811bc306d72021-11-11T03:38:33ZA COMPUTATIONAL MODEL OF TEMPORAL DYNAMICS FOR ANXIETY IN INTERVIEWEE MENTAL STATE10.32890/jict2020.19.2.21675-414X2180-3862https://doaj.org/article/8ee54fbbd23544c089a49a811bc306d72020-03-01T00:00:00Zhttp://e-journal.uum.edu.my/index.php/jict/article/view/jict2020.19.2.2https://doaj.org/toc/1675-414Xhttps://doaj.org/toc/2180-3862Anxiety is an aversive motivational state that occurs when an individual perceives threat at events. This condition creates harmful effects for candidates during interview sessions. An interviewee overwhelmed in such a state deploys worry as a resource to cope with the threat hence losing the ability to present the self positively for favourable assessments. Most of the digital approaches to assist interviewees in this condition are focused on coaching of verbal and non-verbal cues. The aspect of understanding interviewees’ psychological complexities that influence their behavioural tendencies is lacking in these approaches. As the first step in building an intelligent digital basedtherapy platform to overcome this issue, this article provides a building block to understanding the interviewees’ anxiety state by means of a computational model. This model is developed based on the conceptual model derived from generalized anxiety disorder theories. The formal model is valuated using mathematical analysis to determine possible equilibria state and the simulation results are tested against known cases in the literature. The simulation results showed that the degree of threats perceived at events is based on task demands and the resources to cope. Threat is the building block of anxiety through worry which is controlled by one’s personality and inherent trait anxiety. The results conform to established facts in the literature. Consequently, this model can serve as a basis to build an integrated interviewee mental state model embedded with self-efficacy and motivation constructs as a holistic approach to support interviewees in coaching environments during simulated training. Naseer Sanni AjogeAzizi Ab AzizShahrul Azmi Mohd YusofUUM Pressarticleanxiety statescomputational cognitive modelingintelligent support agentinterviewee behavioural statesInformation technologyT58.5-58.64ENJournal of ICT, Vol 19, Iss 2, Pp 185-206 (2020)
institution DOAJ
collection DOAJ
language EN
topic anxiety states
computational cognitive modeling
intelligent support agent
interviewee behavioural states
Information technology
T58.5-58.64
spellingShingle anxiety states
computational cognitive modeling
intelligent support agent
interviewee behavioural states
Information technology
T58.5-58.64
Naseer Sanni Ajoge
Azizi Ab Aziz
Shahrul Azmi Mohd Yusof
A COMPUTATIONAL MODEL OF TEMPORAL DYNAMICS FOR ANXIETY IN INTERVIEWEE MENTAL STATE
description Anxiety is an aversive motivational state that occurs when an individual perceives threat at events. This condition creates harmful effects for candidates during interview sessions. An interviewee overwhelmed in such a state deploys worry as a resource to cope with the threat hence losing the ability to present the self positively for favourable assessments. Most of the digital approaches to assist interviewees in this condition are focused on coaching of verbal and non-verbal cues. The aspect of understanding interviewees’ psychological complexities that influence their behavioural tendencies is lacking in these approaches. As the first step in building an intelligent digital basedtherapy platform to overcome this issue, this article provides a building block to understanding the interviewees’ anxiety state by means of a computational model. This model is developed based on the conceptual model derived from generalized anxiety disorder theories. The formal model is valuated using mathematical analysis to determine possible equilibria state and the simulation results are tested against known cases in the literature. The simulation results showed that the degree of threats perceived at events is based on task demands and the resources to cope. Threat is the building block of anxiety through worry which is controlled by one’s personality and inherent trait anxiety. The results conform to established facts in the literature. Consequently, this model can serve as a basis to build an integrated interviewee mental state model embedded with self-efficacy and motivation constructs as a holistic approach to support interviewees in coaching environments during simulated training.
format article
author Naseer Sanni Ajoge
Azizi Ab Aziz
Shahrul Azmi Mohd Yusof
author_facet Naseer Sanni Ajoge
Azizi Ab Aziz
Shahrul Azmi Mohd Yusof
author_sort Naseer Sanni Ajoge
title A COMPUTATIONAL MODEL OF TEMPORAL DYNAMICS FOR ANXIETY IN INTERVIEWEE MENTAL STATE
title_short A COMPUTATIONAL MODEL OF TEMPORAL DYNAMICS FOR ANXIETY IN INTERVIEWEE MENTAL STATE
title_full A COMPUTATIONAL MODEL OF TEMPORAL DYNAMICS FOR ANXIETY IN INTERVIEWEE MENTAL STATE
title_fullStr A COMPUTATIONAL MODEL OF TEMPORAL DYNAMICS FOR ANXIETY IN INTERVIEWEE MENTAL STATE
title_full_unstemmed A COMPUTATIONAL MODEL OF TEMPORAL DYNAMICS FOR ANXIETY IN INTERVIEWEE MENTAL STATE
title_sort computational model of temporal dynamics for anxiety in interviewee mental state
publisher UUM Press
publishDate 2020
url https://doaj.org/article/8ee54fbbd23544c089a49a811bc306d7
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