Human Factors Modelling Approach: Application to a Safety Device Supporting Crane Operations in Major Hazard Industries

Maria Francesca Milazzo, Giuseppa Ancione and Giancarlo Consolo
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Maria Francesca Milazzo: Dipartimento di Ingegneria, University of Messina, 98166 Messina, Italy
Giuseppa Ancione: Dipartimento di Ingegneria, University of Messina, 98166 Messina, Italy
Giancarlo Consolo: Dipartimento di Scienze Matematiche e Informatiche, Scienze Fisiche e Scienze della Terra, University of Messina, 98166 Messina, Italy

Sustainability, 2021, vol. 13, issue 4, 1-21

Abstract: The European Directive on Safety and Health at Work and the following normatives have the scope to provide high levels of health and safety at work, based on some general principles managing activities and including the risk assessment to continuously improve processes and workplaces. However, the working area changes and brings new risks and challenges for workers. Several of them are associated with new technologies, which determine complex human–machine interactions, leading to an increased mental and emotional strain. To reduce these emerging risks, their understanding and assessment are important. Although great efforts have already been made, there is still a lack of conceptual frameworks for analytically assessing human–machine interaction. This paper proposes a systematic approach that, beyond including the classification in domains to explain the complexity of the human–machine interaction, accounts for the information processing of the human brain. Its validation is shown in a major accident hazard industry where a smart safety device supporting crane related operations is used. The investigation is based on the construction of a questionnaire for the collection of answers about the feeling of crane operators when using the device and the evaluation of the Cronbach’s alpha to measure of the reliability of the assessment.

Keywords: human factor; emerging risk; safety device; major hazard industry; crane; Cronbach’s alpha (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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