Natural language oral communication in humans under stress. Linguistic cognitive coping strategies for enrichment of artificial intelligence

Anikushina V, Taratukhin V, Von Stutterheim C


Abstract

Learning computer systems to recognize natural human speech is significantly easier and more effective when the cognitive process in humans is understood. Psycholinguistics, as an interdisciplinary study of language and cognition, is extremely helpful in this respect. The aim of this study is to understand which linguistic coping strategies people develop under stress, due to their physiological and psychological structure. Oral communication in a foreign language (English), of people with different backgrounds, will be examined under an isolation stressor. It is expected that the physiological parameters (adrenaline and noradrenaline blood-level amounts) and psychological parameters (anxiety tendencies) influence the linguistic performance in a stressful situation. Subjects who share a similar organization of the central nervous system and psychological structure, may also share similarities in cognition regarding language production in a foreign language. The value of the study for artificial intelligence research is applicable to natural language systems, i.e. by helping program a more precise speech recognizing system.

Keywords
cognitive linguistics; natural language; AI theory



Publication type
Research article in proceedings (conference)

Peer reviewed
Yes

Publication status
Published

Year
2018

Conference
8th Annual International Conference on Biologically Inspired Cognitive Architectures

Venue
Moskau

Journal
Proceedia Computer Science

Book title
8th Annual International Conference on Biologically Inspired Cognitive Architectures (BICA 2017)

Editor
Samsonovich, A. V.; Klimov, Valentin V.

Start page
24

End page
28

Volume
123

Title of series
Procedia Computer Science

Publisher
Elsevier

Place
Moskau

Language
English

ISBN
9781510857445

DOI

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