Dynamic prediction model of situation awareness in flight simulation

  • Chuanyan Feng
  • , Xiaoru Wanyan*
  • , Shuang Liu
  • , Damin Zhuang
  • , Xu Wu
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Dynamic prediction for pilot situation awareness (SA) is an important issue in aviation safety. This paper presents a dynamic prediction model on the basis of the progressive triggering relationship between low and high-level SA. Six typical cognitive status (“Unnoticed”, “Attention of situation element (SE) but not reaching perception”, “Perception of SE”, “Perception but not matching the best rule”, “Triggering of the best rule” and “Decision making and operation”) were proposed for the description of the cognitive process of SE. Eighteen participants were selected to conduct the flight simulation tasks, and the situation awareness global assessment technique (SAGAT) method was adopted to measure the performance data (including accuracy and response time) at 13 typical time points. Statistical analysis showed that the theoretical value of the proposed SA dynamic prediction model was significantly correlated with accuracy and response time, which validated the model in the flight simulation environment preliminary. The proposed SA dynamic model in flight scenarios can give some references for cockpit’s human-computer interface design and flight tasks optimization assignment.

Original languageEnglish
Title of host publicationEngineering Psychology and Cognitive Ergonomics - 15th International Conference, EPCE 2018, Held as Part of HCI International 2018, Proceedings
EditorsDon Harris
PublisherSpringer Verlag
Pages115-126
Number of pages12
ISBN (Print)9783319911212
DOIs
StatePublished - 2018
Event15th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2018 Held as Part of HCI International 2018 - Las Vegas, United States
Duration: 15 Jul 201820 Jul 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10906 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2018 Held as Part of HCI International 2018
Country/TerritoryUnited States
CityLas Vegas
Period15/07/1820/07/18

Keywords

  • Cognitive assessment
  • Flight simulation
  • Interface design
  • Mathematical model
  • Situation awareness

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