A Study on the Operator’s Erroneous Responses to the New Human Interface of a Digital Device to be Introduced to Nuclear Power Plants

Oh, Yeon Ju; Lee, Yong Hee; Yun, Jong Hun

doi:10.1007/978-3-642-22098-2_68

Cited by 5 publications

(2 citation statements)

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“…All possible interactions can be described in term of IS/ES, and HEP can be thoroughly investigated from the early phase of design by providing a list of IS/ESs to the human interface designers for qualifying the digital devices to NPPs. The results are to be verified through the experimental observation [3].…”

Section: Conclusion and Discussionmentioning

confidence: 79%

A Scrutinized Analysis Method of the Human Error Potential due to the Introduction of New Digital Devices to Nuclear Power Plants

Lee

Hee

2011

Communications in Computer and Information Science

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This paper describes a new method proposed for human error analysis (HEA) in case of the introduction of new digital devices to nuclear power plants (NPPs). Preventing human errors has been a main issue especially for the safety of NPPs. The hi-touch human interface must be proved to be safe before being introduced to NPPs. Although many good HEA methods are available, a scrutinized one is inevitable against to the new types of errors, for utilizing new digital devices and their human interfaces in NPPs. All possible interactions between the device and the user through the designed interfaces are investigated by the term of Interaction Segment (IS), and Error Segment (ES) is assessed by human factors criteria and their consequences to predict the human error potential (HEP). Results such as a list of ISs and ESs and their combinatorial sequences are provided to the human interface designers for qualifying the digital devices to NPPs.

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Section: Conclusion and Discussionmentioning

confidence: 79%

A Scrutinized Analysis Method of the Human Error Potential due to the Introduction of New Digital Devices to Nuclear Power Plants

Lee

Hee

2011

Communications in Computer and Information Science

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“…Kim et al suggested HRV and EEG indexes, particularly lnLF and lnHF, for detecting human errors [ 38 ]. Oh et al also employed HRV and EEG indexes to predict the probability of human error occurrence, but they reported that there were no significant differences between those biological indexes and error-prone and non-error states [ 39 ].…”

Section: Previous Studies On Human Errors From Affective Computingmentioning

confidence: 99%

Human Error Prediction Using Heart Rate Variability and Electroencephalography

Takada

Laohakangvalvit

Sugaya

2022

Sensors

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As human’s simple tasks are being increasingly replaced by autonomous systems and robots, it is likely that the responsibility of handling more complex tasks will be more often placed on human workers. Thus, situations in which workplace tasks change before human workers become proficient at those tasks will arise more frequently due to rapid changes in business trends. Based on this background, the importance of preventing human error will become increasingly crucial. Existing studies on human error reveal how task errors are related to heart rate variability (HRV) indexes and electroencephalograph (EEG) indexes. However, in terms of preventing human error, analysis on their relationship with conditions before human error occurs (i.e., the human pre-error state) is still insufficient. This study aims at identifying biological indexes potentially useful for the detection of high-risk psychological states. As a result of correlation analysis between the number of errors in a Stroop task and the multiple HRV and EEG indexes obtained before and during the task, significant correlations were obtained with respect to several biological indexes. Specifically, we confirmed that conditions before the task are important for predicting the human error risk in high-cognitive-load tasks while conditions both before and during tasks are important in low-cognitive-load tasks.

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An Experimental Evaluation on Human Error Hazards of Task using Digital Device

Oh¹,

Jang²,

Lee³

2014

Journal of the Korean Society of Safety

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The application of advanced Main Control Room(MCR) is accompanied with lots of changes and different forms and features through the virtue of new digital technologies. The characteristics of these digital technologies and devices give many opportunities to the interface management, and can be integrated into a compact single workstation in advanced MCR so that workers can operate the plant with minimum physical burden under any operation conditions. However, these devices may introduce new types of human errors and thus a means to evaluate and prevent such errors is needed, especially those related to characteristics of digital devices. This paper reviewed the new type of human error hazards of tasks based on digital devices and surveyed researches on physiological assessment related to human error. An experiment was performed to verify human error hazards by physiological responses such as EEG which was measured to evaluate the cognitive workload of operators. And also, the performances of four tasks which are representative in human error hazard tasks based on digital devices were compared. Response time, β power spectrum rate of each task by EEG, and mental workload by NASA-TLX were evaluated. In the results of the experiment, the rate of the β power was increased in the task 1 and task 4 which are searching and navigating task and memory task of hierarchical information, respectively. In case of the mental workload, in most of evaluation items, task 1 and 4 were highly rated comparatively. In this paper, human error hazards might be identified by highly cognitive workload. Conclusively, it was concluded that the predictive method which is utilized in this paper and an experimental verification can be used to ensure the safety when applying the digital devices in Nuclear Power Plants (NPPs).

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A Study on the Operator’s Erroneous Responses to the New Human Interface of a Digital Device to be Introduced to Nuclear Power Plants

Cited by 5 publications

References 1 publication

A Scrutinized Analysis Method of the Human Error Potential due to the Introduction of New Digital Devices to Nuclear Power Plants

A Scrutinized Analysis Method of the Human Error Potential due to the Introduction of New Digital Devices to Nuclear Power Plants

Human Error Prediction Using Heart Rate Variability and Electroencephalography

An Experimental Evaluation on Human Error Hazards of Task using Digital Device

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