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On Cognitive Properties of Human Factors and Error Models in Engineering and Socialization

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  • Yingxu Wang

    (University of Calgary, Canada)

Abstract

Human factors are the most predominated factors in all systems where humans are part of the systems. Human traits and needs are the fundamental force underlying almost all phenomena in human task performances, engineering organizations, and socialization. This article explores the cognitive foundations of human traits and cognitive properties of human factors in engineering. A comprehensive set of fundamental traits of human beings are identified, and the hierarchical model of basic human needs is formally described. The characteristics of human factors and their influences in engineering organizations and socialization are explored. Based on the models of basic human traits, needs, and their influences, driving forces behind the human factors in engineering and society are revealed. A formal model of human errors in task performance is derived, and case studies of the error model in software engineering are presented.

Suggested Citation

  • Yingxu Wang, 2008. "On Cognitive Properties of Human Factors and Error Models in Engineering and Socialization," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 2(4), pages 70-84, October.
    • Handle: RePEc:igg:jcini0:v:2:y:2008:i:4:p:70-84
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    Cited by:

    1. Pawel Kobis, 2021. "Human factor aspects in information security management in the traditional IT and cloud computing models," Operations Research and Decisions, Wroclaw University of Science Technology, Faculty of Management, vol. 31, pages 61-76.
    2. Paweł Kobis, 2021. "Human factor aspects in information security management in the traditional IT and cloud computing models," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 61-76.

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