Who benefits from simulator training: Personality and heart rate variability in relation to situation awareness during navigation training

2012 ◽  
Vol 28 (4) ◽  
pp. 1262-1268 ◽  
Author(s):  
Evelyn-Rose Saus ◽  
Bjørn Helge Johnsen ◽  
Jarle Eid ◽  
Julian F. Thayer
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Situation Awareness ◽  
Simulator Training

Features of changes in heart rate variability indices in driving school cadets with different levels of preparedness

2021 ◽  
Author(s):  
S.E. Bebinov ◽  
O.N. Krivoshchekova ◽  
A.V. Nechaev
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Simulator Training ◽  
Training Level ◽  
Driver Training ◽  
Traffic Conditions ◽  
Key Words Heart ◽  
Key Words Heart Rate ◽  
Regulatory Systems ◽  
Different Levels

The research was carried out on two independent experimental groups of boys and girls. The first was observed in traffic conditions, the second during the period of auto-simulator training. The HRV indices were determined: HR - heart rate, IN - index of tension of regulatory systems, AMo - amplitude of the mode, LF/HF - index of vagosympathetic interaction. A pronounced sympathetic reaction of more prepared cadets to the training load with the subsequent restoration of the studied characteristics was revealed. Key words: heart rate variability, autonomic regulation, vagosympathetic interaction, driver training, level of preparedness.

Detecting Pedestrian Situation Awareness in Real-Time: Algorithm Development Using Heart Rate Variability and Phone Position

2018 ◽  
Vol 62 (1) ◽  
pp. 1579-1583
Author(s):  
Yourui Tong ◽  
Bochen Jia ◽  
Yi Wang ◽  
Si Yang
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Real Time ◽  
Situation Awareness ◽  
Mental State ◽  
Time Algorithm ◽  
Support Vector ◽  
Vehicle Design ◽  
Automated Vehicle ◽  
Hrv Analysis

To help automated vehicles learn surrounding environments via V2X communications, it is important to detect and transfer pedestrian situation awareness to the related vehicles. Based on the characteristics of pedestrians, a real-time algorithm was developed to detect pedestrian situation awareness. In the study, the heart rate variability (HRV) and phone position were used to understand the mental state and distractions of pedestrians. The HRV analysis was used to detect the fatigue and alert state of the pedestrian, and the phone position was used to define the phone distractions of the pedestrian. A Support Vector Machine algorithm was used to classify the pedestrian’s mental state. The results indicated a good performance with 86% prediction accuracy. The developed algorithm shows high applicability to detect the pedestrian’s situation awareness in real-time, which would further extend our understanding on V2X employment and automated vehicle design.

Evaluation of marine simulator training based on heart rate variability

2009 ◽  
Author(s):  
Sam Teel ◽  
Jim Sanders ◽  
Daniel S. Parrott ◽  
Larry Wade ◽  
Timothy Gervais ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Simulator Training

scholarly journals Evaluation of A Cadet's Mental Workload for Simulator Training Using Heart Rate Variability

2009 ◽  
Vol 121 (0) ◽  
pp. 125-130 ◽  
Author(s):  
Koji MURAI ◽  
Sam TEEL ◽  
Daniel S. PARROTT ◽  
Yuji HAYASHI
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Mental Workload ◽  
Simulator Training

scholarly journals Psychophysiology, task complexity, and team factors determine ERT's shared beliefs [Safety Science, 2015]

2018 ◽  
Author(s):  
Bjørn Sætrevik
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Situation Awareness ◽  
Task Complexity ◽  
Similarity Index ◽  
Team Members ◽  
Shared Beliefs ◽  
Scenario Design ◽  
Response Team ◽  
Subjective Reports

In field settings where the objective truth is not known, the extent to which you have the same understanding of the situation as your team leader may be used as an indicator for a team’s situation awareness. Two experiments showed emergency response team members’ degree of shared beliefs (measured as a ‘similarity index’) to be associated with which team they are in, but not with which position they have in the team. This indicates that factors specific to the teams, e.g. the leader’s behavior, the team’s shared experience, or communication patterns, are important for a team’s situation awareness. In the second experiment, task complexity was manipulated with a scripted scenario design and heart rate variability was measured as an indicator of executive function. Shared beliefs were shown to be associated with the degree of high frequency modulation of heart rate variability. Further, shared beliefs were associated with the designed task complexity for some teams. The experiments showed no association between the measure of shared beliefs and subjective reports of situation awareness.

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