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Titolo:
Information theoretic approach to man-machine interface complexity evaluation
Autore:
Kang, HG; Seong, PH;
Indirizzi:
Korea Atom Energy Res Inst, Integrated Safety Assessment Team, Taejon, South Korea Korea Atom Energy Res Inst Taejon South Korea Team, Taejon, South Korea Korea Atom Energy Res Inst, Dept Nucl Engn, Taejon, South Korea Korea AtomEnergy Res Inst Taejon South Korea Engn, Taejon, South Korea
Titolo Testata:
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS
fascicolo: 3, volume: 31, anno: 2001,
pagine: 163 - 171
SICI:
1083-4427(200105)31:3<163:ITATMI>2.0.ZU;2-I
Fonte:
ISI
Lingua:
ENG
Soggetto:
DESIGN; SYSTEMS;
Keywords:
complexity; entropy-based measure; man-machine interface evaluation;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
21
Recensione:
Indirizzi per estratti:
Indirizzo: Kang, HG Korea Atom Energy Res Inst, Integrated Safety Assessment Team, Taejon, South Korea Korea Atom Energy Res Inst Taejon South Korea jon, South Korea
Citazione:
H.G. Kang e P.H. Seong, "Information theoretic approach to man-machine interface complexity evaluation", IEEE SYST A, 31(3), 2001, pp. 163-171

Abstract

We analyze the interactions between human operators and control room equipment and find that several factors affect the information-gathering and decision-making processes of operators: the contents of provided information, the way information is provided, and the knowledge of operators. These factors contribute to the perceived cognitive complexity by human operators in plant operation. Based on the information theory concept, we propose an integrated framework for evaluating this complexity. The proposed framework isdesigned to be applied to various types of control room equipment which have different types of man-machine interface and contain different types of information. An experimental verification for the proposed framework is performed and its result shows that the framework successfully integrates various aspects of man-machine interface systems and estimates the mental workload of human operators.

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Documento generato il 26/01/20 alle ore 10:56:31