Lieutenant A and the rottweilers: a pheno-cognitive analysis of a fire-fighter's experience of a critical incident and peritraumatic resilience

Theron, Paul (2014) Lieutenant A and the rottweilers: a pheno-cognitive analysis of a fire-fighter's experience of a critical incident and peritraumatic resilience. PhD thesis, University of Glasgow.

Full text available as:
[thumbnail of 2014TheronPhDv1.pdf] PDF
Download (8MB)
[thumbnail of 2014TheronPhDv2.pdf] PDF
Download (3MB)
[thumbnail of 2014TheronPhDv3.pdf] PDF
Download (1MB)
Printed Thesis Information: https://eleanor.lib.gla.ac.uk/record=b3059833

Abstract

Fire-fighters are subject to attacks in the field. This idiographic Pheno-Cognitive Analysis (PCA) studies a fireman’s cognitive experience of a Critical Incident (CI) when he is attacked by dangerous dogs during an intervention. The PCA method, created for this research, extends the Elicitation Interview (EI), yields a first-person narrative of the subject’s experience out of his episodic memory, and semantically elicits 460 Cognitive Operations and four patterns of Cognitive Trajectories. Their variations in shape (Intra-Variability) and occurrence (Inter-Variability) are analysed. A model of Decision-Making-in-Action (DMA), and five Metacognitive Skills providing Peritraumatic Resilience (PTR) are revealed. Epistemological limits are discussed.

Item Type: Thesis (PhD)
Qualification Level: Doctoral
Additional Information: Jury: Convener : Professor David Watt Internal : Professor Alessandro Vinciarelli External : Professor Jean-Luc Wybo (Mines ParisTech, Fr)
Keywords: Fire-fighters, Attacks against fire-fighters, Dangerous dogs, Safety, Critical Incident (CI), Trauma, Peritraumatic experience, Peritraumatic Dissociation, Pheno-Cognitive Analysis (PCA), Elicitation Interview (EI), Phenomenography, Cognitive Operations, Cognitive Trajectories, Decision-Making-in-Action (DMA), Peritraumatic Resilience (PTR), Naturalistic Decision Making (NDM), Cognitive Computing Science, Metacognitive Training, Metacognition, Cognitively Autonomous Computer Agents
Subjects: B Philosophy. Psychology. Religion > BF Psychology
H Social Sciences > HV Social pathology. Social and public welfare
Q Science > Q Science (General)
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
U Military Science > U Military Science (General)
Colleges/Schools: College of Science and Engineering > School of Computing Science
Supervisor's Name: Johnson, Professor Christopher
Date of Award: 2014
Depositing User: Mr Paul THERON
Unique ID: glathesis:2014-5146
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 08 Jul 2014 15:23
Last Modified: 08 Jul 2014 15:25
URI: https://theses.gla.ac.uk/id/eprint/5146

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year