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 Aircraft Pilots Workload Analysis: Heart Rate Variability Objective Measures and NASA-Task Load Index Subjective Evaluation

Aerospace ◽  
2020 ◽  
Vol 7 (9) ◽  
pp. 137
Author(s):  
Andrea Alaimo ◽  
Antonio Esposito ◽  
Calogero Orlando ◽  
Andre Simoncini
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Mental Workload ◽  
Subjective Evaluation ◽  
Biometric Data ◽  
Workload Analysis ◽  
Main Research ◽  
Nonlinear Relationships ◽  
Nasa Tlx ◽  
Aircraft Pilots

Workload and fatigue of aircraft pilots represent an argument of great interest in the framework of human factors and a pivotal point to be considered in aviation safety. 75% of aircraft accidents are related to human errors that, in most cases, are due to high level of mental workload and fatigue. There exist several subjective or objective metrics to quantify the pilots’ workload level, with both linear and nonlinear relationships reported in the literature. The main research objective of the present work is to analyze the relationships between objective and subjective workload measurements by looking for a correlation between metrics belonging to the subjective and biometric rating methods. More particularly, the Heart Rate Variability (HRV) is used for the objective analysis, whereas the NASA-TLX questionnaire is the tool chosen for the subjective evaluation of the workload. Two different flight scenarios were considered for the studies: the take-off phase with the initial climb and the final approach phase with the landing. A Maneuver Error Index (MEI) is also introduced to evaluate the pilot flight performance according to mission requirements. Both qualitative and quantitative correlation analyses were performed among the MEI, subjective and objective measurements. Monotonic relationships were found within the HRV indexes, and a nonlinear relationship is proposed among NASA-TLX and HRV indexes. These findings suggest that the relationship between workload, biometric data, and performance indexes are characterized by intricate patterns of nonlinear relationships.

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

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 Maturation of the Autonomic Nervous System in Premature Infants: Estimating Development Based on Heart-Rate Variability Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Mario Lavanga ◽  
Elisabeth Heremans ◽  
Jonathan Moeyersons ◽  
Bieke Bollen ◽  
Katrien Jansen ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Premature Infants ◽  
Low Frequency ◽  
Absolute Error ◽  
Heart Rate Variability Analysis ◽  
Autonomic Nervous ◽  
Comparable Performance

This study aims at investigating the development of premature infants' autonomic nervous system (ANS) based on a quantitative analysis of the heart-rate variability (HRV) with a variety of novel features. Additionally, the role of heart-rate drops, known as bradycardias, has been studied in relation to both clinical and novel sympathovagal indices. ECG data were measured for at least 3 h in 25 preterm infants (gestational age ≤32 weeks) for a total number of 74 recordings. The post-menstrual age (PMA) of each patient was estimated from the RR interval time-series by means of multivariate linear-mixed effects regression. The tachograms were segmented based on bradycardias in periods after, between and during bradycardias. For each of those epochs, a set of temporal, spectral and fractal indices were included in the regression model. The best performing model has R2 = 0.75 and mean absolute error MAE = 1.56 weeks. Three main novelties can be reported. First, the obtained maturation models based on HRV have comparable performance to other development models. Second, the selected features for age estimation show a predominance of power and fractal features in the very-low- and low-frequency bands in explaining the infants' sympathovagal development from 27 PMA weeks until 40 PMA weeks. Third, bradycardias might disrupt the relationship between common temporal indices of the tachogram and the age of the infant and the interpretation of sympathovagal indices. This approach might provide a novel overview of post-natal autonomic maturation and an alternative development index to other electrophysiological data analysis.

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.

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
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