Preliminary Analysis of Human Error Prediction Model by Using Biological Information

Yuto Saito, Muhammad Nur Adilin Mohd Anuardi, Ryota Matsubara, Midori Sugaya

研究成果

抄録

Increasing in aging population forced the society to act more than their limit. For instance, an action such as driving, where we need our mental concentration at most, could lead to serious accident from a simple mistake because of overwork. Therefore, it is crucial to prevent the accident. Many researchers focus on biological information to predict the error because human error always related to a person’s cognitive condition such as stress and discomfort. However, existing studies on the human error prediction model have not conducted a detailed analysis, and also have not considered individual differences. Therefore, the purpose of this study is to analyze the biological information immediately before and after the occurrence of human error in order to construct a prediction model for human error considering individual differences. In this study, we developed the Stroop task to be used as the mental workload and measured the subjects’ biological information. As a result, we proposed 10 [s] as the time intervals for before and after the consecutive of the occurrence of the human errors for better analysis. Besides, the biological information measured from all subjects suggested that pNN10 can be considered as the predictive indicator for human error occurrence. However, other biological information also expressed vary results where our next step needs to consider the individual differences by increasing the sample size. In addition, the logistic regression will be considered for machine learning to be used for the human error prediction model construction.

本文言語English
ホスト出版物のタイトルEngineering Psychology and Cognitive Ergonomics - 18th International Conference, EPCE 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Proceedings
編集者Don Harris, Wen-Chin Li
出版社Springer Science and Business Media Deutschland GmbH
ページ324-335
ページ数12
ISBN(印刷版)9783030779313
DOI
出版ステータスPublished - 2021
イベント18th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2021, held as part of the 23rd International Conference, HCI International 2020 - Virtual, Online
継続期間: 2021 7 242021 7 29

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12767 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference18th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2021, held as part of the 23rd International Conference, HCI International 2020
CityVirtual, Online
Period21/7/2421/7/29

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

フィンガープリント

「Preliminary Analysis of Human Error Prediction Model by Using Biological Information」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル