Assessment of Pilot Workload During Boeing 767 Normal and Abnormal Operating Conditions

Roscoe, Alan H.; Grieve, Brian

doi:10.4271/881382

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…Their study showed HR was sensitive to general task demands but poorly fit for diagnosing what type of work was causing the high workload. Roscoe (1987) points out that HR works better with the pilot-flying performing relatively demanding manual-flight task than the pilot-not-flying who is undertaking a purely monitoring task.…”

Section: Mean Heart Rate (Hr)mentioning

confidence: 99%

Cardiac-Activity Measures for Assessing Airport Ramp-Tower Controller’s Workload

Hayashi

Dulchinos²

2016

Proceedings of the Human Factors and Ergonomics Society Annual

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Heart rate (HR) and heart rate variability (HRV) potentially offer objective, continuous, and non-intrusive measures of human-operator’s mental workload. Such measurement capability is attractive for workload assessment in complex laboratory simulations or safety-critical field testing. The present study compares mean HR and HRV data with self-reported subjective workload ratings collected during a high-fidelity human-in-the-loop simulation of airport ramp traffic control operations, which involve complex cognitive and coordination tasks. Mean HR was found to be weakly sensitive to the workload ratings, while HRV was not sensitive or even contradictory to the assumptions. Until more knowledge on stress response mechanisms of the autonomic nervous system is obtained, it is recommended that these cardiac-activity measures be used with other workload assessment tools, such as subjective measures.

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Section: Mean Heart Rate (Hr)mentioning

confidence: 99%

Cardiac-Activity Measures for Assessing Airport Ramp-Tower Controller’s Workload

Hayashi

Dulchinos²

2016

Proceedings of the Human Factors and Ergonomics Society Annual

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“…Likewise, the more sophisticated and realistic the simulator, the more likely a pilot is to have a significant increase in heart rate, similar to that expected in a real aircraft. Roscoe and Grieve (1988) recorded similar heart rates and workload ratings from pilots flying in the B767 airplane and flight simulator.…”

Section: Physiological Measuresmentioning

confidence: 99%

Exploring Virtual Reality Flight Training as a Viable Alternative to Traditional Simulator Flight Training

Lawrynczyk¹

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Upwards of 60% of preventable aviation accidents are due to human error, suggesting that sufficient training is vital for improved flight safety. The objective of the present work was to inform the use of virtual reality technology as a flight simulation method that supports training of high-risk scenarios and has major cost saving potential compared to traditional flight simulators.Participants flew three predefined circuits in a traditional flight simulator graphics condition (Broad Angle Display System, (BADS)), and conducted the same flight path and tasks using a VR graphics environment. The exploratory hypotheses in this research are that there would be no differences in the user experience, cognitive workload, and performance, between the two graphics conditions. User experience was gathered by a questionnaire probing motion sickness and other VR usability metrics. Cognitive load was gathered from a subjective rating in a questionnaire, derived from peripheral detection task, and by continuously measuring participant's physiological indices, including heart rate and galvanic skin response. Performance was obtained from flight path and airspeed deviations, and from flying precision. USER EXPERIENCE.There were no differences in physiological symptoms (i.e., queasiness, dizziness, or disorientation) after the first flying condition, however queasiness ratings appeared greater for participants who flew in the VR graphics condition on second exposure. COGNITIVE LOAD. The average subjective mental workload rating, heart rate, and galvanic skin response were statistically higher in the VR graphics condition than in the BADS. The remaining cognitive load metrics did not have any significant differences between the two graphics conditions. PERFORMANCE. The average airspeed root-meansquared error (RMSE) was statistically greater (worse) in the BADS graphics condition than in the VR. There were no differences in the altitude or heading RMSE, or flying precision between the two graphics conditions. The groups experiencing queasiness and dizziness symptoms in VR on first exposure both had a greater heading RMSE in VR. There were no significant effects from queasiness, dizziness, or disorientation on performance measures in the BADS group.

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The Human Pilot and the Automated Aeroplane

Roscoe

1993

Profitable Condition Monitoring

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Assessment of Pilot Workload During Boeing 767 Normal and Abnormal Operating Conditions

Cited by 5 publications

References 5 publications

Cardiac-Activity Measures for Assessing Airport Ramp-Tower Controller’s Workload

Cardiac-Activity Measures for Assessing Airport Ramp-Tower Controller’s Workload

Exploring Virtual Reality Flight Training as a Viable Alternative to Traditional Simulator Flight Training

The Human Pilot and the Automated Aeroplane

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