scholarly journals EEG-based Mental Workload and Stress Recognition of Crew Members in Maritime Virtual Simulator: A Case Study

2017 ◽  
Author(s):  
Yisi Liu ◽  
Salem Chandrasekaran Harihara Subramaniam ◽  
Olga Sourina ◽  
Serene Hui Ping Liew ◽  
Gopala Krishnan ◽  
...  
Keyword(s):  
Mental Workload ◽  
Stress Recognition

A Pilot Mental Workload Case Study in a Full Flight Simulator

2018 ◽  
Vol 97 (1) ◽  
pp. 27-33 ◽  
Author(s):  
A. Alaimo ◽  
A. Esposito ◽  
C. Orlando ◽  
G. Tesoriere
Keyword(s):  
Mental Workload ◽  
Flight Simulator

Wavelet Transform with Application in Roadside Landscape Design

2015 ◽  
Vol 744-746 ◽  
pp. 2032-2042 ◽  
Author(s):  
Tong Yang Zhang ◽  
Zhong Hua Wei ◽  
Li Wang ◽  
Xia Zhao ◽  
Ting Wang
Keyword(s):  
Heart Rate ◽  
Wavelet Transform ◽  
Mental Workload ◽  
Landscape Design ◽  
Landscape Patterns ◽  
Small Scale ◽  
Time Frequency ◽  
Rate Measure ◽  
Positive Effect

This paper aims to apply the wavelet transform to the study of driver’s heart rate in different roadside landscape patterns. In the methodology, we describe the procedure in detail that implementing wavelet transform to denoise heart rate signal. The result shows the algorithm presented with the best performance is suitable to process heart rate signal. In the case study, taking advantage of the superiority of wavelet transform in time-frequency domain, it is apparent that heart rate is in a state of fluctuation continuously. That confirms that sensitivity of heart rate measure the mental workload. We also observe that landscape transition enhance driver’s heart rate on a small scale, which makes a positive effect on driver and can be adopted as a countermeasure against the fatigue of driver in the further road landscape design.

scholarly journals Transdisciplinary Assessment Matrix to Design Human-Machine Interaction

2020 ◽  
Author(s):  
Fabio Grandi ◽  
Margherita Peruzzini ◽  
Roberto Raffaeli ◽  
Marcello Pellicciari
Keyword(s):  
User Experience ◽  
Interaction Analysis ◽  
Mental Workload ◽  
Physiological Data ◽  
Human Machine Interaction ◽  
Simulated Environments ◽  
Assessment Matrix ◽  
Physical Comfort ◽  
Machine Interaction

Successful interaction with complex systems is based on the system ability to satisfy the user needs during interaction tasks, mainly related to performances, physical comfort, usability, accessibility, visibility, and mental workload. However, the “real” user experience (UX) is hidden and usually difficult to detect. The paper proposes a Transdisciplinary Assessment Matrix (TAS) based on collection of physiological, postural and visibility data during interaction analysis, and calculation of a consolidated User eXperience Index (UXI). Physiological data are based on heart rate parameters and eye pupil dilation parameters; postural data consists of analysis of main anthropometrical parameters; and interaction data from the system CAN-bus. Such a method can be adopted to assess interaction on field, during real task execution, or within simulated environments. It has been applied to a simulated case study focusing on agricultural machinery control systems, involving users with a different level of expertise. Results showed that TAS is able to validly objectify UX and can be used for industrial cases.

scholarly journals The Effect of Mental Workload on the Prevalence of Musculoskeletal Disorders (Case Study: Bandar Abbas Zinc Production Company)

2021 ◽  
Author(s):  
Hadi SALARI ◽  
Mohammad Reza GHOTBI RAVANDI ◽  
Mohammad DASTANPOUR ◽  
Sajjad ZARE
Keyword(s):  
Musculoskeletal Disorders ◽  
Mental Workload ◽  
Statistical Tests ◽  
Working Hours ◽  
Simple Random Sampling ◽  
Cross Sectional ◽  
Working Postures ◽  
Bandar Abbas ◽  
Production Company

Introduction: One of the effective factors in the occurrence of musculoskeletal disorders is the mismatch between the mental workload on the person and his abilities and limitations. Therefore, this study aimed to investigate the effect of mental workload on the prevalence of musculoskeletal disorders in Bandar Abbas Production Company. Method: This cross-sectional descriptive-analytical study was conducted in 2019. The data collection tools included demographic information questionnaires, Nordic musculoskeletal disorders, and NASA-TLX mental workload. The participants were 172 people who were identified using Cochran's formula and simple random sampling. The collected data were analyzed by SPSS25 software. Results: The results indicated that 76.74% of the subjects had musculoskeletal disorders. Most of disorders were reported in the low back (51.16%), knees (38.95%), and neck (23.84%). The mean score of mental workloads in Bandar Abbas Production Company in this study was high (66.67). Among the mental workload subscales, the effort subscale had the highest score (85.32) and the performance subscale had the lowest score (20.00). Statistical tests showed that there was a significant relationship between mental workload and the prevalence of musculoskeletal disorders. Conclusion: According to the findings of the study, there was a direct relationship between mental workload and the prevalence of musculoskeletal disorders. Therefore, measures should be taken to reduce the perceived mental and psychological load, such as reducing working hours, interrupting and resting between working, increasing the variety of working postures, and  

Human Error Identification and Mental Workload Index Setting During a Computer Power Source Change Task: A Case Study

2018 ◽  
pp. 427-438
Author(s):  
Margarita Ortiz-Solis ◽  
Aide Aracely Maldonado-Macias ◽  
Manuel Alejandro Barajas-Bustillos ◽  
Karina Arredondo-Soto ◽  
Teresa Carrillo-Gutiérrez
Keyword(s):  
Human Error ◽  
Mental Workload ◽  
Power Source ◽  
Error Identification ◽  
Change Task ◽  
Computer Power

scholarly journals Identification of the Relationship between Maritime Autonomous Surface Ships and the Operator’s Mental Workload

2021 ◽  
Vol 11 (5) ◽  
pp. 2331
Author(s):  
Masanori Yoshida ◽  
Etsuro Shimizu ◽  
Masashi Sugomori ◽  
Ayako Umeda
Keyword(s):  
Human Error ◽  
Gap Analysis ◽  
Mental Workload ◽  
Technological Development ◽  
Index Method ◽  
Task Load ◽  
Indispensable Tool ◽  
Nasa Task Load Index ◽  
The Relationship

Shipping is an indispensable tool for the sustainable global supply chain, and seafarers play a key role in safe navigation. Maritime autonomous surface ships (MASS) have been expected to reduce marine accidents by human error of the seafarers. On the other hand, MASS may have adverse effects on operators’ mental workload (MWL) and increase safety risks in some cases. This research aims to provide a scheme for identifying the relationship between MWL and MASS in the maritime that can be utilised for rulemaking and technological development. The provided scheme identifies the factors that affect the MWL of operators and sub-elements of MWL through gap analysis. Five factors related to MASS operation were defined, in addition to general factors. The case study was carried out by utilising the scheme on typical cases focusing on the normal navigational situation. The NASA task load index method was used to measure MWL. Ten deck officers with various ranks, including the third officer and captain, participated in the case study. The results suggested that various causes such as conflicted situations, machine–human interfaces, mechanical-style movements of the ship, reliability of MASS, and visibility constraints affect the MWL of operators. It also confirmed the verification of the identification scheme.

scholarly journals THE MEASUREMENT OF NURSES’ MENTAL WORKLOAD USING NASA-TLX METHOD (A CASE STUDY)

2020 ◽  
Vol 20 (Special1) ◽  
pp. 60-63
Author(s):  
Nur I ◽  
Iskandar H ◽  
Ade RF
Keyword(s):  
Mental Workload ◽  
Task Load ◽  
Average Value ◽  
Mental Demand ◽  
High Workload ◽  
Nasa Tlx ◽  
Years Of Service ◽  
Primary Groups ◽  
Very High

Nurse is a profession that has a quite high workload. It can be seen from how often they should encounter situations which compel them to undergo precisely right decision in saving patients’ lives. Various environmental conditions increase the frustration rate of the nurses, such as noise of the crowds and medical equipment, as well as smell of medicines and wounds at once. Moreover, demands from the patients’ family make it even tougher for them. Therefore, this study aims to measure the mental workload of the nurses at Intensive Care Unit (ICU) and emergency unit (IGD) in the Hospital ZA based on their years of service. The study was conducted using the method of NASA-TLX (National Aeronautics and Space Administration – Task Load Index). It measured the workload in six dimensions: Mental Demand (MD), Physical Demand (PD), Temporal Demand (TD), Own Performance (P), Effort (EF), and Frustration Rate (FR). The results of the study show that the average value of the nurses’ workload at ICU and IGD is in the category very high (respectively 80 and 83) for the nurses with 0-3 years of service, and the most contributing factor for both the primary groups is the effort (EF).

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