Reducing Human Error by Improvement of Design and Organization

Dalijono, T.; Castro, Jorge Rey de; Löwe, Katharina; Löher, Heinz-Josef

doi:10.1205/psep.05182

Cited by 9 publications

(4 citation statements)

References 3 publications

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“…The focus is on the actions performed by the driver, not by the system. With the scenario analysis, the subtasks (to-do Sustainability 2020, 12, 3030 6 of 16 list) required for a take-over were separated, and the identification of causes for human errors became easier [14]. The results are presented in Figure 3.…”

Section: Scenario Analysis In a Take-overmentioning

confidence: 99%

A Few Critical Human Factors for Developing Sustainable Autonomous Driving Technology

Cárdenas¹,

Shin

Kim

2020

Sustainability

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The purpose of this study is to develop a framework that can identify critical human factors (HFs) that can generate human errors and, consequently, accidents in autonomous driving level 3 situations. Although much emphasis has been placed on developing hardware and software components for self-driving cars, interactions between a human driver and an autonomous car have not been examined. Because user acceptance and trust are substantial for the further and sustainable development of autonomous driving technology, considering factors that will influence user satisfaction is crucial. As autonomous driving is a new field of research, the literature review in other established fields was performed to draw out these probable HFs. Herein, interrelationship matrices were deployed to identify critical HFs and analyze the associations between these HFs and their impact on performance. Age, focus, multitasking capabilities, intelligence, and learning speed are selected as the most critical HFs in autonomous driving technology. Considering these factors in designing interactions between drivers and automated driving systems will enhance users' acceptance of the technology and its sustainability by securing good usability and user experiences.

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Section: Scenario Analysis In a Take-overmentioning

confidence: 99%

A Few Critical Human Factors for Developing Sustainable Autonomous Driving Technology

Cárdenas¹,

Shin

Kim

2020

Sustainability

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“…In general, human factors, such as safety and human error, have been identified in many areas including medicine, aviation, computer interface applications and the chemical processes [46][47][48][49][50][51][52][53][54][55][56][57]. A very important issue in the smelting process is that the response to actions take a long time to eventuate and people do not adequately consider immediate and future consequences, and they often fail to appreciate future consequences even when these might be serious.…”

Section: Computer Control Developments 44mentioning

confidence: 99%

Operational and Control Decision Making in Aluminium Smelters

Gao

Taylor

Chen

et al. 2011

AMR

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In aluminium smelters, the operational staffs constantly face decision making situations for operation and process control and these decisions can have significant impact on the process. The smelting process involves highly complex mechanisms and has rich information but low observability. In this environment, without support tools, systematic information management, or robust control models, decision making is challenging. This paper discusses different types of decision making processes and demonstrates that naturalistic decision making models (Recognition-Primed Decision Making, ie RPD) are more suitable to describe the situations in smelters. A model which combines an advanced control model, a system and human interactive approach and the thinking process in RPD is proposed to improve the quality of decisions for the operational staffs in smelters, hence the efficiency and productivity of the process.

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“…All relevant consequences and the required counteractions can be demonstrated in the same diagram (see Figure 2). Checklists are available to help perform this method [3, 8].…”

Section: New Approach For Qualitative Hf Analysismentioning

confidence: 99%

“…This step requires up to circa 3 weeks for complex process plants, and includes all of the available plant documents. By employing a checklist for task analysis [3, 8], safety relevant tasks are determined. The next steps of this analysis are only carried out on safety relevant tasks.…”

Section: Process Industry Tool For Operator Action Analysismentioning

confidence: 99%

Systematic approach to incorporate human factors into a process plant design

Widiputri¹,

Löwe²,

Löher³

2009

Process Safety Progress

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Despite the increasing number of accidents in process industry caused by human error, there are still too few efforts devoted to this area. This is mainly caused by people's tendency to overestimate human's capability in interacting with their working environment and moreover by the unavailability of reliable analysis methods. Because of the current lack of adequate methods, human factors (HF) analysis is not widely performed in process industry. Some HF techniques developed in the process industry were examined regarding their practical applicability and were unfortunately proved to be unsuitable for an elaborate HF analysis. Therefore, a new approach was developed, which provides a systematic way in performing a qualitative HF analysis to achieve a safer operation and decrease the number of human failure events. HF consideration during the design of a process plant is the key to minimize accidents caused by human error in process industry. Thus, an approach to incorporate HF into design phase is described in this article, which can help achieving a safer operation as early as possible with minimized costs. © 2009 American Institute of Chemical Engineers Process Saf Prog 2009

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Reducing Human Error by Improvement of Design and Organization

Cited by 9 publications

References 3 publications

A Few Critical Human Factors for Developing Sustainable Autonomous Driving Technology

A Few Critical Human Factors for Developing Sustainable Autonomous Driving Technology

Operational and Control Decision Making in Aluminium Smelters

Systematic approach to incorporate human factors into a process plant design

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