Effects of interior aircraft noise on pilot performance

Ivošević, Jurica; Bucak, Tino; Andraši, Petar

doi:10.1016/j.apacoust.2018.04.006

Cited by 12 publications

(4 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the first study, he reported that there was no reduction in the performance, but in the second study, he mentioned that there were some short time lapses where the performance was affected. Similar to this study, other authors declared the exposition to noise does not affect significantly the pilot or the task it conducts [10].…”

Section: IIsupporting

confidence: 80%

Effect of heat stress on the Development of a Flight Maneuver

et al. 2020

View full text Add to dashboard Cite

It has been reported that the decrease in performance of airplane pilots, due to extreme work conditions, could potentially lead to an accident. Additionally, exposure to heat conditions has been linked to increased accident rates. The objective of this experimental study was to examine the influence of temperature (21°C and 35°C) and the maneuver complexity, in the pilots’ performance, measured by the time spent to complete a maneuver, using a Static Flight Driving Device simulator. We used an experimental design with ten () professional pilots who had an average flight experience of 420 hours. The results obtained show that there is an effect of both, temperature and the maneuver difficulty, in the time needed to complete a flight maneuver. Maneuvers that are more complex or expose pilots to heat , increase the time to complete a maneuver. Even though the interaction term had a p-value of 0.103, what was seen in the experiment suggest that the temperature has a bigger effect when the maneuver is considered difficult.

show abstract

Section: IIsupporting

confidence: 80%

Effect of heat stress on the Development of a Flight Maneuver

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Lindvall and Västfjäll [20] investigated the effect of sound recorded in a cockpit. Ivošević et al [21] carried out quite similar examinations.…”

Section: Tactile and Kinesthetic Appreciabilitymentioning

confidence: 91%

A Fuzzy Approach for In-Car Sound Quality Prediction

Lukács¹

2020

ACTA POLYTECH HUNG

View full text Add to dashboard Cite

Numerous methods exist to characterize product quality. Nowadays, in the case of road vehicles, one of the most important issues is the acoustic comfort of the interior. However, the detection of the traffic environment is a further key question. In the case of minor vehicle collisions, the perceptibility is to analyze. Within the framework of the current study, the results of airborne noise measurements are presented. Experimental data were used to design predictive fuzzy models to estimate cabin noise level, which is in connection with the audibility of outer sourcing sounds. Two concepts of inference systems were investigated by examining accuracy, conformity and 0 residuals: Mamdani and Sugeno type ones. It was finally concluded that for estimating interior noise, Sugeno type fuzzy model is the better choice, as the accuracy and conformity are higher. In addition, the range of residuals is a magnitude lower: Mamdani type FIS provided-2.30 ~ 2.30 dB (-3.84 ~ 3.30%), Sugeno type one resulted-0.40 ~ 0.20 dB (-0.57 ~ 0.33%). Furthermore, the residuals follow a Gaussian distribution, in the case of the Sugeno predictive fuzzy model.

show abstract

“…Due to this, in recent years road traffic noise and its adverse and complex effects on human beings are increasing (Banerjee, 2012). These effects are both psychological and physiological in nature (Ivošević et al, 2018). This paper is focused on one major physio-psychological effect of noise pollution which is effect of noise on work efficiency.…”

Section: Introductionmentioning

confidence: 99%

Archives of Acoustics

Yadav,

Tandel

2021

View full text Add to dashboard Cite

A study was carried to assess the effect of traffic noise pollution on the work efficiency of shopkeepers in Indian urban areas. For this, an extensive literature survey was done on previous research done on similar topics. It was found that personal characteristics, noise levels in an area, working conditions of shopkeepers, type of task they are performing are the most significant factors to study effects on work efficiency. Noise monitoring, as well as a questionnaire survey, was done in Surat city to collect desired data. A total of 17 parameters were considered for assessing work efficiency under the influence of traffic noise. It is recommended that not more than 6 parameters should be considered for ANFIS modeling hence, before opting for the ANFIS modeling, most affecting parameters to work efficiency under the influence of traffic noise, was chosen by Structural Equation Model (SEM). As a result of the SEM model, two ANFIS prediction models were developed to predict the effect on work efficiency under the influence of traffic noise. R squared for model 1, for training data was 0.829 and for testing data, it was 0.727 and R squared for model 2 for training data was 0.828 and for testing data, it was 0.728. These two models can be used satisfactorily for predicting work efficiency under traffic noise environment for open shutter shopkeepers in tier II Indian cities.

show abstract

Effects of interior aircraft noise on pilot performance

Cited by 12 publications

References 8 publications

Effect of heat stress on the Development of a Flight Maneuver

Effect of heat stress on the Development of a Flight Maneuver

A Fuzzy Approach for In-Car Sound Quality Prediction

Archives of Acoustics

Contact Info

Product

Resources

About