Enhancing human performance in ship operations by modifying global design factors at the design stage

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Enhancing human performance in ship operations by modifying global design factors at the design stage. / Montewka, Jakub; Goerlandt, Floris; Innes-Jones, Gemma; Owen, Douglas; Hifi, Yasmine; Puisa, Romanas.

In: Reliability Engineering and System Safety, Vol. 159, 01.03.2017, p. 283-300.

Research output: Contribution to journalArticleScientificpeer-review

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Montewka, Jakub ; Goerlandt, Floris ; Innes-Jones, Gemma ; Owen, Douglas ; Hifi, Yasmine ; Puisa, Romanas. / Enhancing human performance in ship operations by modifying global design factors at the design stage. In: Reliability Engineering and System Safety. 2017 ; Vol. 159. pp. 283-300.

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@article{e108d06b41b143f181bcc63419efaff8,
title = "Enhancing human performance in ship operations by modifying global design factors at the design stage",
abstract = "Usually the improvements of human performance in the course of ship design process is carried out by modifying local ergonomics, like electronic visualisation and information display systems on the bridge or in the engine control room, stair or hatch covers design. However, the effect of global design factors (GDFs), such as ship motion, whole body vibration and noise, on human performance has not been given attention before. Such knowledge would allow the improvements of human performance by effective design modification on very early stage of ship design process. Therefore, in this paper we introduce probabilistic models linking the effect of GDFs with the human performance suitable for ship design process. As a theoretical basis for modelling human performance the concept of Attention Management is utilized, which combines the theories described by Dynamic Adaptability Model, Cognitive Control Model and Malleable Attentional Resources Theory. Since the analysed field is characterised by a high degree of uncertainty, we adopt a specific modelling technique along with a validation framework that allows uncertainty treatment and helps the potential end-users to gain confidence in the models and the results that they yield. The proposed models are developed with the use Bayesian Belief Networks, which allows systematic translation of the available background knowledge into a coherent network and the uncertainty assessment and treatment. The obtained results are promising as the models are responsive to changes in the GDF nodes as expected. The models may be used as intended by naval architects and vessel designers, to facilitate risk-based ship design.",
keywords = "Bayesian Belief Networks, Collision, Grounding, Human performance, Ship design",
author = "Jakub Montewka and Floris Goerlandt and Gemma Innes-Jones and Douglas Owen and Yasmine Hifi and Romanas Puisa",
year = "2017",
month = "3",
day = "1",
doi = "10.1016/j.ress.2016.11.009",
language = "English",
volume = "159",
pages = "283--300",
journal = "Reliability Engineering and System Safety",
issn = "0951-8320",
publisher = "Elsevier Limited",

}

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TY - JOUR

T1 - Enhancing human performance in ship operations by modifying global design factors at the design stage

AU - Montewka, Jakub

AU - Goerlandt, Floris

AU - Innes-Jones, Gemma

AU - Owen, Douglas

AU - Hifi, Yasmine

AU - Puisa, Romanas

PY - 2017/3/1

Y1 - 2017/3/1

N2 - Usually the improvements of human performance in the course of ship design process is carried out by modifying local ergonomics, like electronic visualisation and information display systems on the bridge or in the engine control room, stair or hatch covers design. However, the effect of global design factors (GDFs), such as ship motion, whole body vibration and noise, on human performance has not been given attention before. Such knowledge would allow the improvements of human performance by effective design modification on very early stage of ship design process. Therefore, in this paper we introduce probabilistic models linking the effect of GDFs with the human performance suitable for ship design process. As a theoretical basis for modelling human performance the concept of Attention Management is utilized, which combines the theories described by Dynamic Adaptability Model, Cognitive Control Model and Malleable Attentional Resources Theory. Since the analysed field is characterised by a high degree of uncertainty, we adopt a specific modelling technique along with a validation framework that allows uncertainty treatment and helps the potential end-users to gain confidence in the models and the results that they yield. The proposed models are developed with the use Bayesian Belief Networks, which allows systematic translation of the available background knowledge into a coherent network and the uncertainty assessment and treatment. The obtained results are promising as the models are responsive to changes in the GDF nodes as expected. The models may be used as intended by naval architects and vessel designers, to facilitate risk-based ship design.

AB - Usually the improvements of human performance in the course of ship design process is carried out by modifying local ergonomics, like electronic visualisation and information display systems on the bridge or in the engine control room, stair or hatch covers design. However, the effect of global design factors (GDFs), such as ship motion, whole body vibration and noise, on human performance has not been given attention before. Such knowledge would allow the improvements of human performance by effective design modification on very early stage of ship design process. Therefore, in this paper we introduce probabilistic models linking the effect of GDFs with the human performance suitable for ship design process. As a theoretical basis for modelling human performance the concept of Attention Management is utilized, which combines the theories described by Dynamic Adaptability Model, Cognitive Control Model and Malleable Attentional Resources Theory. Since the analysed field is characterised by a high degree of uncertainty, we adopt a specific modelling technique along with a validation framework that allows uncertainty treatment and helps the potential end-users to gain confidence in the models and the results that they yield. The proposed models are developed with the use Bayesian Belief Networks, which allows systematic translation of the available background knowledge into a coherent network and the uncertainty assessment and treatment. The obtained results are promising as the models are responsive to changes in the GDF nodes as expected. The models may be used as intended by naval architects and vessel designers, to facilitate risk-based ship design.

KW - Bayesian Belief Networks

KW - Collision

KW - Grounding

KW - Human performance

KW - Ship design

UR - http://www.scopus.com/inward/record.url?scp=85003876249&partnerID=8YFLogxK

U2 - 10.1016/j.ress.2016.11.009

DO - 10.1016/j.ress.2016.11.009

M3 - Article

VL - 159

SP - 283

EP - 300

JO - Reliability Engineering and System Safety

JF - Reliability Engineering and System Safety

SN - 0951-8320

ER -

ID: 10188563