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Improving safety performance of construction workers through cognitive function training

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence 바로가기
  • 통권
    Volume 12 Number 2 (2023.06)바로가기
  • 페이지
    pp.159-166
  • 저자
    Se-jong Ahn, Ho-sang Moon, Sung-Taek Chung
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A432941

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원문정보

초록

영어
Due to the aging workforce in the construction industry in South Korea, the accident rate has been increasing. The cognitive abilities of older workers are closely related to both safety incidents and labor productivity. Therefore, there is a need to improve cognitive abilities through personalized training based on cognitive assessment results, using cognitive training content, in order to enable safe performance in laborintensive environments. The provided cognitive training content includes concentration, memory, oreintation, attention, and executive functions. Difficulty levels were applied to each content to enhance user engagement and interest. To stimulate interest and encourage active participation of the participants, the difficulty level was automatically adjusted based on feedback from the MMSE-DS results and content measurement data. Based on the accumulated data, individual training scenarios have been set differently to intensively improve insufficient cognitive skills, and cognitive training programs will be developed to reduce safety accidents at construction sites through measured data and research. Through such simple cognitive training, it is expected that the reduction of accidents in the aging construction workforce can lead to a decrease in the social costs associated with prolonged construction periods caused by accidents.

목차

Abstract
1. Introduction
2. Background Theory
3. Materials and methods
3.1 System configuration
3.2 Simple mental status evaluation program
3.3 Cognitive training content
4. Discussion
5. Conclusions
References

키워드

Construction Worker Cognitive Function MMSE-DS Flow Theory level

저자

  • Se-jong Ahn [ PhD Student, Department of Computer Engineering, Tech University of Korea, Siheung, Korea ]
  • Ho-sang Moon [ PhD Student, Department of IT Semiconductor Convergence Engineering, Tech University of Korea, Siheung, Korea ]
  • Sung-Taek Chung [ Professor, Department of Computer Engineering, Tech University of Korea, Siheung, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

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