• Proceedings of the ESK Conference
• /
• 1994.04a
• /
• pp.158-170
• /
• 1994

인간-기계 시스템이 점차적으로 복잡하고 거대해짐에 따라 인간-기계 계면(man-machine interface)에서의 인간은 근운동을 요하는 육체적 작업에서 경계(vigilance), 제어(control), 감시 (monitoring), 추적(tracking) 등 정신적 업무로그 역할이 전이되는 등 시스템내에서의 인적요소의 중요성이 더욱 증가되고 있다. 이러한 시스템내에서의 주된 계면은 표시장치(display)와 제어장치 (control)들이며, 이들에 대한 인간공학적 설계와 배치가 효율적인 인간-기계 계면의 중요한 설계 요인이 된다. 본 연구에서는 동일한 작업에 대해 서로다른 배치를 가진 4개의 컴퓨터 시뮬레이션 표시장치 panel 실험을 통하여 panel 제어 작업에서의 표시장치와 제어장치의 설계형태나 배치에 따라 발생하는 인적오류를 정량적으로 예측, 검출하는 것을 그 목적으로 한다. 그리고 각 panel에 따른 수행도 척도로서 작업수행시간(operation time)과 오류율(error rate)을 검출하고, 그 결과에 의한 인적 오류 예측모형을 제시하여 인적오류를 감소시키는 보다 나은 panel을 설계하는데 활용가능 하게 하고, 더 나아가서는 인간신뢰성 기법에 적용시킬 수 있도록 기초자료를 분석하고 제시하고자 한다.

• Proceedings of the KSR Conference
• /
• 2010.06a
• /
• pp.2021-2028
• /
• 2010

Rail human factors research has grown rapidly in both quantity and quality of output over the past few years. Human factors, also, still plays a significant part in many railway accidents. In this paper we review categorized performance shaping factors of human errors associated with railway accidents within and out of the country. This paper deals with the selection of the important performance shaping factors under accident management situations in railway for use in the assessment of human errors. The purpose of this study is to classify which human error would be selected for accident analysis. Therefore, the classification of human errors suggested in this study may be useful to enhance the Korean railway system safety.

• Journal of The Korean Society For Urban Railway
• /
• v.6 no.4
• /
• pp.259-268
• /
• 2018

To reduce conducted a survey on human error risk factors and related experience frequency to drivers of Seoulmetro and Korail. The human error arising from systems operating urban railway aimed at eliminating and reducing the fundamental causes of urban rail accidents is based on research from a factorial point of view, since it contains problems dealing with the types and situations of accident generation. It is required to contribute to reducing human error so that urban railway accidents may be reduced and safe operation will be continuedly seared.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2019.11a
• /
• pp.265-265
• /
• 2019

Marine accidents continue to occur every year due to human errors. The purpose of this study is to promote navigational safety by preventing ship collision accidents caused by human errors of behavior of navigators. There are two ways to manage human error caused by navigator's behavior. It is divided in individual approach and system approach, which is applied to situational awareness theory and Rasmussen's behavioral theory. This study investigated past marine accidents caused by human error and conducted experiments using ship handling simulators to identify these two behavioral characteristics. After analyzing two human error characteristics, we will propose a countermeasure in next study.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.21 no.5
• /
• pp.515-523
• /
• 2015

This study reviewed 612 DP LOP(Loss of Position) incident reports which submitted to IMCA from 2001~2010 and identified 103 human error caused incidents and classified it through HFACS. And, this study analysis of conditional probability of human error on DP LOP incidents through application of bayesian network. As a result, all 103 human error related DP LOP incidents were caused by unsafe acts, and among unsafe acts 70 incidents(68.0 %) were related to skill based error which are the largest proportion of human error causes. Among skill based error, 60(58.3%) incidents were involved inadvertent use of controls and 8(7.8%) incidents were involved omitted step in procedure. Also, 21(20.8%) incidents were involved improper maneuver because of decision error. Also this study identified that unsafe supervision(68%) is effected as the largest latent causes of unsafe acts through application to bayesian network. As a results, it is identified that combined analysis of HFACS and bayesian network are useful tool for human error analysis. Based on these results, this study suggest 9 recommendations such as polices, interpersonal interaction, training etc. to prevent and mitigate human errors during DP operations.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2016.05a
• /
• pp.246-248
• /
• 2016

VTS 해상관제사의 인지직무분석을 위하여 인지직무 영역을 상황인식과 인적오류의 두 차원으로 구분한 후 문헌연구, 현장조사법 및 설문조사법을 활용하여 항해사가 보이는 상황인식과 인적오류의 특성을 분석하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2018.05a
• /
• pp.116-118
• /
• 2018

본 연구의 목적은 선박조종시뮬레이터(Ship Handling Simulator)를 이용하여 해기사 SRK(Skill-, Rule-, Knowledge) 기반 행동 측정을 하고자 하는 것이다. SRK 행동은 Rasmussen에 의해 제안된 행동 이론이며, 인적오류로 인한 사고는 매년 발생하고 있고, 인적오류로 인한 해양사고를 줄이고자 하는 연구가 필요하다. 우선 해기사 SRK 행동을 정의하고, 선박조종시뮬레이터를 이용하고 다양한 시나리오를 통해 해양사고 중 충돌상황에 대하여 측정 방법을 연구하고자 한다.

• Journal of KIISE:Computing Practices and Letters
• /
• v.10 no.2
• /
• pp.156-173
• /
• 2004

Business process should support the execution of collaboration process with agility and flexibility through the integration of enterprise inner or outer applications and human resources from the collaborative workflow view. Although the dependency of enterprise activities to the automated system has been increasing, human role is as important as ever. In the workflow modelling this human role is emphasized and the structure to control human error by analysing decision-making itself is needed. Also, through the collaboration of activities agile and effective communication should be constructed, eventually by the combination and coordination of activities to the aimed process the product quality should be improved. This paper classifies human errors can be occurred in collaborative workflow by applying GEMS(Generic Error Modelling System) to control them, and suggests human error control method through hybrid based modelling as well. On this base collaborative workflow modeling tool is designed and implemented. Using this modelling methodology it is possible to workflow modeling could be supported considering human characteristics has a tendency of human error to be controlled.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2019.11a
• /
• pp.264-264
• /
• 2019

The purpose of this paper is to establish development concepts for a novel collision avoidance system with preventing function of navigator's human error (Hu-CAS) in ship control behaviors. Hu-CAS consists of four modules: 1) collision risk assessment module to estimate collision priority between the ship and objects, 2) decision-making module to decide collision risk levels, 3) parameter estimation module needed in the ship control to avoid collisions and 4) control system to control the rudder angle and speed. Hu-CAS, proposed in this paper, can provide a novel system substitution current Autopilot and/or a CAS be teen manned vessel and Autonomous ship in a future.

• Proceedings of KOSOMES biannual meeting
• /
• 2017.11a
• /
• pp.102-102
• /
• 2017