scholarly journals Human Behaviour Analysis of Barrier Deviations Using a Benefit-Cost-Deficit Model

2009 ◽  
Vol 2009 ◽  
pp. 1-10 ◽  
Author(s):  
Philippe Polet ◽  
Frédéric Vanderhaegen ◽  
Patrick Millot

A Benefit-Cost-Deficit (BCD) model is proposed for analyzing such intentional human errors as barrier removal, the deliberate nonrespect of the rules and instructions governing use of a given system. The proposed BCD model attempts to explain and predict barrier removal in terms of the benefits, costs, and potential deficits associated with this human behaviour. The results of an experimental study conducted on a railway simulator (TRANSPAL) are used to illustrate the advantages of the BCD model. In this study, human operators were faced with barriers that they could choose to deactivate, or not. Their decisions were analyzed in an attempt to explain and predict their choices. The analysis highlights that operators make their decisions using a balance between several criteria. Though barriers are safety-related elements, the decision to remove them is not guided only by the safety criterion; it is also motivated by such criteria as productivity, workload, and quality. Results of prediction supported by the BCD demonstrate the predictability of barrier violation

2017 ◽  
Vol 20 (1) ◽  
pp. 707-720 ◽  
Author(s):  
João Emílio Almeida ◽  
Rosaldo J. F. Rossetti ◽  
João Tiago Pinheiro Neto Jacob ◽  
Brígida Mónica Faria ◽  
António Leça Coelho

Author(s):  
Giuseppe Andreoni ◽  
Laura Anselmi ◽  
Fiammetta Costa ◽  
Marco Mazzola ◽  
Ezio Preatoni ◽  
...  

Author(s):  
Vinodkumar Jacob ◽  
M. Bhasi ◽  
R. Gopikakumari

Measurement is the act or the result, of a quantitative comparison between a given quantity and a quantity of the same kind chosen as a unit. It is for observing and testing scientific and technological investigations and generally agreed that all measurements contain errors. In a measuring system where both a measuring instrument and a human being taking the measurement using a preset process, the measurement error could be due to the instrument, the process or human error. This study is devoted to understanding the human errors in measurement. Work and human involvement related factors that could affect measurement errors have been identified. An experimental study has been conducted using different subjects where the factors were changed one at a time and the measurements made by them recorded. Errors in measurement were then calculated and the data so obtained was subject to statistical analysis to draw conclusions regarding the influence of different factors on human errors in measurement. The findings are presented in the paper.


2011 ◽  
Vol 96 (7) ◽  
pp. 757-766 ◽  
Author(s):  
Frédéric Vanderhaegen ◽  
Stéphane Zieba ◽  
Simon Enjalbert ◽  
Philippe Polet
Keyword(s):  

Author(s):  
Kamrad Khoshhal ◽  
Hadi Aliakbarpour ◽  
Kamel Mekhnacha ◽  
Julien Ros ◽  
Joao Quintas ◽  
...  

2019 ◽  
Vol 10 (1) ◽  
pp. 4-6
Author(s):  
Mihalis A. Nicolaou ◽  
Stefanos Zafeiriou ◽  
Irene Kotsia ◽  
Guoying Zhao ◽  
Jeffrey Cohn

2012 ◽  
Vol 39 (12) ◽  
pp. 10873-10888 ◽  
Author(s):  
Alexandros André Chaaraoui ◽  
Pau Climent-Pérez ◽  
Francisco Flórez-Revuelta

2014 ◽  
Vol 6 (2) ◽  
pp. 29-55 ◽  
Author(s):  
Yuska P. C. Aguiar ◽  
Maria de Fátima Q. Vieira ◽  
Edith Galy ◽  
Charles Santoni

Human error studies tend to focus on identifying the relationship between human activity, errors and their consequences. Accidents and incidents report analysis has been the path followed by several authors in the human error studies field, as it will be discussed in this paper. However, error reports tend to detail technical aspects of the error occurrence but fail to explore the human-behaviour component that might have influenced it. In order to investigate the human behaviour and its relation with accidents and human errors the authors propose to observe individuals working during critical situations, while adopting a methodological approach supported by an experimental protocol, to ensure a rigorous systematization of the data gathering and analysis. This paper presents a cognitive model which accounts for the knowledge of the individual and situation characteristics when analysing the user behaviour during critical situations. It also presents the supporting experimental protocol, and discusses its application in the context of a decision making aid system, employed during maritime pollution crisis management.


Author(s):  
Keivan Sadeghzadeh ◽  
Rifat Sipahi

Air traffic control is a demanding task for human operators, as this task requires tracking multiple events, managing the events, and taking actions in the presence of multiple and possibly competing objectives. In such critical tasks, human intelligence is extremely crucial however human decisions also become more prone to errors, which could cause tragic events. One idea to prevent such errors is to design smart machines that can assist human subjects in making decisions whenever human errors become more likely. In this article, we present a simulation model that captures the essence of how a human subject model would interact with a simplified version of an air traffic control simulator, and show how we design a predictor-compensator in order to regulate and possibly improve this interaction, such that overall human-machine interface can be optimized, and human workload is reduced on average.


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