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

scholarly journals Traffic Pattern Analysis in a Flight Simulator: Subjective and Physiological Mental Workload Assessment Techniques

2018 ◽  
Vol 12 ◽  
Author(s):  
Raphaëlle Roy ◽  
Benjamin Winkler ◽  
Fabian Honecker ◽  
Sébastien Scannella ◽  
Frédéric Dehais ◽  
...  
Keyword(s):  
Pattern Analysis ◽  
Mental Workload ◽  
Flight Simulator ◽  
Traffic Pattern ◽  
Assessment Techniques

“Soft” Controls for Hard Displays: Still a Challenge

1992 ◽  
Vol 36 (1) ◽  
pp. 52-56 ◽  
Author(s):  
Asaf Degani ◽  
Everett A. Palmer ◽  
Kristin G. Bauersfeld
Keyword(s):  
Flight Simulator ◽  
Future Trends ◽  
Questionnaire Data ◽  
Direct Manipulation ◽  
Airline Pilots ◽  
Input Interface ◽  
Mechanical Components

Future trends in design of controls and displays for cockpit sub-systems (electrical, pneumatics, fuel, etc.), will undoubtedly focus on replacing dedicated “hard” controls with reconfigurable “soft” controls depicted on the sub-system schematic display. This concept would allow for direct manipulation of mechanical components via the display. The case study reported here discusses the approach, redesign, and evaluation of soft controls and multi-functional displays for the Advanced Concepts Flight Simulator (ACFS), a two-engine, “generic” airliner. The redesign effort focused on the input interface (a touch sensitive screen), the display concept, and improving “navigation” among sub-system displays. The paper concludes with a summary of questionnaire data and comments of 26 airline pilots who flew a four-segment mission in the simulator. The subjective results indicated that pilots favored the direct manipulation concepts and the ability to link alerts, procedures, and configuration tasks. However, the technology used to support this concept still requires improvements.

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

scholarly journals Unmanned aerial vehicle pilot training

2021 ◽  
Author(s):  
Nikola Sklaličanová ◽  
◽  
Branislav Kandera
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Mental Workload ◽  
Pilot Training ◽  
Flight Simulator ◽  
Practical Training ◽  
Individual Measurement ◽  
Measurement Results ◽  
Aerial Vehicle ◽  
The Individual

The paper titled "Unmanned aerial vehicle pilot training" is focused on the analysis of unmanned aerial vehicle pilot training and the importance of using an unmanned flight simulator during the practical training of unmanned aerial vehicle pilots. For the realization of the paper, we used a device that served to measure the mental workload of unmanned aerial vehicle pilots during simulated and practical flight. Our experiment involved 5 unmanned aerial vehicle pilots in training who had zero or minimal flying experience. The aim of this work was to investigate to what extent mental workload acts on UAV pilots during simulated and practical flights. The measurements and their analysis showed that a much greater load is exerted on the pilots of unmanned aerial vehicles during practical flight. Through a primary experiment of already experienced pilots, we concluded that the majority of respondents would welcome the opportunity to use an unmanned flight simulator during their training. The paperconcludes with a summary of the individual measurement results, graphical representations of the respondents' answers, as well as an implementation design that could be applied to the training of UAV pilots.

Assessment of Computer Modeling of Operator Mental Workload during Target Acquisition

1997 ◽  
Vol 41 (2) ◽  
pp. 1303-1307 ◽  
Author(s):  
Judi E. See ◽  
Michael A. Vidulich
Keyword(s):  
Computer Simulation ◽  
Phase I ◽  
Computer Modeling ◽  
Predictive Validity ◽  
Simulation Modeling ◽  
Situational Awareness ◽  
Mental Workload ◽  
Computer Models ◽  
Flight Simulator ◽  
Subjective Ratings

The predictive validity of computer simulation modeling of operator mental workload and situational awareness (SA) during a simulated air-to-ground combat mission was assessed in the present study. In Phase I, 12 participants completed a series of combat missions in a laboratory flight simulator and provided subjective ratings of workload (using the SWAT) and SA (using the SART). In Phase II, computer models of the mission were constructed using the Micro Saint modeling tool. The visual, auditory, kinesthetic, cognitive, and psychomotor components of the workload associated with each task were estimated and used to obtain measures of average and peak workload. The results from the simulated combat missions versus the Micro Saint models were similar but not identical, indicating that the computer models were partially but not completely valid predictors of mental workload and SA. The computer modeling appeared to be a more effective predictor of SA rather than mental workload.

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.

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