Effect of Mental Workload on Heart Rate Variability and Reaction Time of Aircraft Maintenance Personnel

2021 ◽  
pp. 613-625
Author(s):  
Abdul Ghani Abdul Samad ◽  
Mohd Amzar Azizan ◽  
Md Hafis Khairuddin ◽  
Muhd Khudri Johari
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Reaction Time ◽  
Mental Workload ◽  
Aircraft Maintenance ◽  
Maintenance Personnel

scholarly journals Measurement of mental workload by heart rate variability indexes.

1992 ◽  
Vol 28 (2) ◽  
pp. 91-98 ◽  
Author(s):  
Atsuo MURATA
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Mental Workload

scholarly journals Heart Rate Variability Analysis and Performance during a Repeated Mental Workload Task

2017 ◽  
pp. 69-72 ◽  
Author(s):  
Rossana Castaldo ◽  
Luis Montesinos ◽  
Tim S. Wan ◽  
Andra Serban ◽  
Sebastiano Massaro ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Mental Workload ◽  
Heart Rate Variability Analysis ◽  
Variability Analysis ◽  
And Performance

Significance of Aircraft Maintenance Personnel’s Reaction Time During Physical Workload and Mental Workload

2021 ◽  
pp. 637-643
Author(s):  
Abdul Ghani Abdul Samad ◽  
Mohd Amzar Azizan ◽  
Md Hafis Khairuddin ◽  
Muhd Khudri Johari
Keyword(s):  
Reaction Time ◽  
Mental Workload ◽  
Physical Workload ◽  
Aircraft Maintenance

Evaluation of mixed culture bridge teammates' mental workload using heart rate variability: Simulator-based ship handling

2016 ◽  
Author(s):  
Kenichi Kitamura ◽  
Koji Murai ◽  
Masao Furusho ◽  
Yibing Wang ◽  
Jie Wang ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Mixed Culture ◽  
Mental Workload ◽  
Ship Handling

The Influence of Monochronic/Polychronic Time Orientation on Temporal Demand and Subjective Mental Workload

2019 ◽  
Vol 7 (3) ◽  
pp. 243-253
Author(s):  
Ari Widyanti ◽  
Dewi Regamalela
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Mental Workload ◽  
Time Orientation ◽  
Individual Factors ◽  
Individual Factor ◽  
Comparable Performance ◽  
Nasa Tlx ◽  
Study Participants ◽  
Higher Sensitivity

The sensitivity of mental workload measures is influenced by cultural and individual factors. One individual factor that is hypothesized to influence mental workload is time orientation. The aim of this study is to observe the influence of time orientation on temporal demand and subjective mental workload. One hundred and two participants representing three different time orientations, namely monochronic, neutral, and polychronic orientations, assessed using the Modified Polychronic Attitude Index 3 (MPAI3), voluntarily participated in this study. Participants were instructed to complete a search and count task in four different conditions with varying degrees of difficulty. Mental workload was assessed using subjective (NASA-TLX) and objective (heart rate variability, or HRV) methods and analyzed for each condition. The results show that, with comparable performance and comparable HRV, monochronic participants show higher sensitivity than neutral or polychronic participants in subjective mental workload, particularly the temporal demand dimension. The implications are discussed.

scholarly journals On heart rate variability and respiration as indices of mental workload

1989 ◽  
Vol 25 (Supplement) ◽  
pp. 140-141
Author(s):  
M. Ohsuga ◽  
F. Shimono ◽  
C. Akashi
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Mental Workload

scholarly journals Quantization of mental stress using various physiological markers

2015 ◽  
Author(s):  
Apoorvagiri ◽  
Mandya Sannegowda Nagananda ◽  
Sandekere Tippeswamy Veerabhadrappa
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Reaction Time ◽  
Simple Reaction Time ◽  
Mental Stress ◽  
Stroop Test ◽  
Simple Reaction ◽  
Study Materials ◽  
Physiological Markers ◽  
Accurate Quantification

The aim of this study is to quantize mental stress by integrating different physiological markers like reaction time, photoplethysmograph (PPG), heart rate variability (HRV) and subjective markers like questionnaire. The study included 10 subjects of age between 22 and 26 years. Study materials include the results of PSS questionnaire, simple reaction time, PPG data, HRV data during a stress inducing stroop test. The study suggests that mental stress can be quantized when stress is induced acquisitively and more accurate quantification of stress can be achieved by integrating many physiological parameters.

245 VALIDATION OF SIMULATION-BASED TRAINING IN NEONATAL RESUSCITATION: USE OF HEART RATE VARIABILITY AS A MARKER FOR MENTAL WORKLOAD.

2004 ◽  
Vol 52 (Suppl 1) ◽  
pp. S122.2-S122 ◽  
Author(s):  
A. A. Murphy ◽  
D. M. Kaegi ◽  
R. Gobble ◽  
A. Dubin ◽  
S. K. Howard ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Mental Workload ◽  
Neonatal Resuscitation ◽  
Simulation Based

scholarly journals Cardiovascular Biomarkers’ Inherent Timescales in Mental Workload Assessment During Simulated Air Traffic Control Tasks

2020 ◽  
Author(s):  
Thea Radüntz ◽  
Thorsten Mühlhausen ◽  
Marion Freyer ◽  
Norbert Fürstenau ◽  
Beate Meffert
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Frequency Domain ◽  
Traffic Control ◽  
Work Experience ◽  
Time Slot ◽  
Mental Workload ◽  
Air Traffic ◽  
Band Ratio ◽  
Cardiovascular Biomarkers

Abstract One central topic in ergonomics and human-factors research is the assessment of mental workload. Heart rate and heart rate variability are common for registering mental workload. However, a major problem of workload assessment is the dissociation among different workload measures. One potential reason could be the disregard of their inherent timescales and the interrelation between participants’ individual differences and timescales. The aim of our study was to determine if different cardiovascular biomarkers exhibit different timescales. We focused on air traffic controller and investigated biomarkers’ ability to distinguish between conditions with different load levels connected to prior work experience and different time slots. During an interactive real-time simulation, we varied the load situations with two independent variables: the traffic volume and the occurrence of a priority-flight request. Dependent variables for registering mental workload were the heart rate and heart rate variability from two time slots. Our results show that all cardiovascular biomarkers were sensitive to workload differences with different inherent timescales. The heart rate responded sooner than the heart rate variability features from the frequency domain and it was most indicative during the time slot immediately after the priority-flight request. The heart rate variability parameters from the frequency domain responded with latency and were most indicative during the subsequent time slot. Furthermore, by consideration of biomarkers’ inherent timescales, we were able to assess a significant effect of work experience on heart rate and mid/high frequency-band ratio of the heart rate variability. Results indicated that different cardiovascular biomarkers reveal different inherent timescales.

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