Journal of the Korean Society of Systems Engineering (시스템엔지니어링학술지)

The Korean Society of Systems Engineering (한국시스템엔지니어링학회)
권호 표지
DOI QR코드

DOI QR Code

A Study of Systems Engineering Process Model For the Cognitive Interface Design Process

시스템 엔지니어링 프로세스 모델에 기반한 인지 시스템 설계 프로세스 연구

  • Cha, Woo Chang (School of Industrial Engineering, Kumoh National Institute of Technology) ;
  • Ra, Doo Wan (School of Industrial Engineering, Kumoh National Institute of Technology) ;
  • Choi, Yong Jin (School of Industrial Engineering, Kumoh National Institute of Technology) ;
  • Lee, Ji Young (School of Industrial Engineering, Kumoh National Institute of Technology)
  • 차우창 (금오공과대학교 산업공학부) ;
  • 나두완 (금오공과대학교 산업공학부) ;
  • 최용진 (금오공과대학교 산업공학부) ;
  • 이지영 (금오공과대학교 산업공학부)
  • Published : 2013.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

The aim of this study is to propose the design process suitable for developing the cognitive interface considering system engineering process (SEP) models. Due to the cognitive workload in an operation of HMS, some cognitive interfaces have been developed. It is somehow difficult to use the developed cognitive interface in real working environment since they often showed a conflict to stereotyped interface. So it is necessary to develop the design process suitable for the more operator-specific interface. Various SEP models were reviewed for selecting the suitable design process which might resolve the problem from design-specific interface. The suitable process for designing cognitive interface was proposed considering currently usable SEP models. The findings from the study may be helpful for systematic approach to designing cognitive interface in digitalized environment. The proposed design process would be applied for easily employing the cognitive interface in digitalized working environment such as main control room in nuclear power plant.

Keywords

References

  1. Cha, W. (2010). Cognitive System Design, Chaos Book p. 225-236.
  2. Vicente, K. & Rasmussen, J. (1992) "Ecological interface design : Theoretical foundation," IEEE Transactions on Systems, Man and Cybernetics, 22:1-18,. https://doi.org/10.1109/21.141306
  3. Ham D, & Yoon WC. (2001). "Design of Information Content and Layout for Process Control Based on Goal-Means Domain Analysis.", Cognition, Technology & Work, 3(4):205-223. https://doi.org/10.1007/s10111-001-8003-z
  4. Hajdukiewicz JR, & Vicente KJ. (2002). "Designing for Adaptation to Novelty and Change : Functional Information, Emergent. Feature Graphics, and Higher-Level Control.", Human Factors, 44(4):592-610. https://doi.org/10.1518/0018720024496980
  5. Burns, C. M., Skraaning, Jr., G., Jamieson, G. a., Lau, N., Kwok, J., Welch, R., et al. (2008). "Evaluation of ecological interface design for Nuclear process control : Situation Awareness Effects.", Human Factors, 50(4), 663-679. https://doi.org/10.1518/001872008X312305
  6. Ra, D. & Cha, W. (2013). "The Application of Ecological Interface Design Methodology for Digitlaized MCR in NPP", Vol 32. No.1 pp1-7, Jornal of the Ergonomics Society of Korea. https://doi.org/10.5143/JESK.2013.32.1.1
  7. KHNP. (2012) TR2012-0513, Development of Cognitive Engineering Display and Optimized Pattern Recognition Technique for Fault Detection.