Annoyance

About: Annoyance is a research topic. Over the lifetime, 2015 publications have been published within this topic receiving 38300 citations. The topic is also known as: annoy.

On the possibilities of changing the annoyance reaction to noise by changing the attitudes to the source of annoyance.

Abstract: On the possibilities of changing the annoyance reaction to noise by changing the attitudes to the source of annoyance

Aviation noise effects

Abstract: : This report summarizes the effects of aviation noise in many areas, ranging from human annoyance to impact on real estate values. It also synthesizes the findings of literature on several topics. Included in the literature were many original studies carried out under FAA and other Federal funding over the past two decades. Efforts have been made to present the critical findings and conclusions of pertinent research, providing, when possible, a 'bottom line' conclusion, criterion or perspective. Issues related to aviation noise are highlighted, and current policy is presented. Specific topic addressed include: Annoyance; Hearing and hearing loss; Noise metrics; Human response to noise; Speech interference; Sleep interference; Non-auditory health effects of noise; Effects of noise on wild and domesticated animals; Low frequency acoustical energy; Impulsive noise; Time of day weightings; Noise contours; Land use compatibility; and Real estate values. This document is designed for a variety of users, from the individual completel unfamiliar with aviation noise to experts in the field. Keywords include: Helicopters; and Environmental impact.

A summation and inhibition model of annoyance response to multiple community noise sources

Abstract: A model of annoyance due to combined noise sources was developed. The model provides for the summation of the subjective magnitudes of annoyance due to the separate noise sources and for the inhibition of the subjective magnitudes of each source by the presence of the other noise sources. The inhibition process is assumed to mathematically obey a power-group transformation. The results of an experiment in which subjects judged the annoyance of 15 minute sessions of combined aircraft and with several other models of combined source annoyance. These comparisons indicated that the model developed herein provides better qualitative and quantitative agreement with experimental responses than the other models. The application of the model to multiple community noises is discussed.

Effects of a Hovering Unmanned Aerial Vehicle on Urban Soundscapes Perception

Abstract: Several industry leaders and governmental agencies are currently investigating the use of Unmanned Aerial Vehicles (UAVs), or drones as commonly known, for an ever-growing number of applications from blue light services to parcel delivery. For the specific case of the delivery sector, drones can alleviate road space usage and also lead to reductions in CO2 and air pollution emissions, compared to traditional diesel-powered vehicles. However, due to their unconventional acoustic characteristics and operational manoeuvres, it is uncertain how communities will respond to drone operations. Noise has been suggested as a major barrier to public acceptance of drone operations in urban areas. In this paper, a series of audio-visual scenarios were created to investigate the effects of drone noise on the reported loudness, annoyance and pleasantness of seven different types of urban soundscapes. In soundscapes highly impacted by road traffic noise, the presence of drone noise lead to small changes in the perceived loudness, annoyance and pleasantness. In soundscapes with reduced road traffic noise, the participants reported a significantly higher perceived loudness and annoyance and a lower pleasantness with the presence of the same drone noise. For instance, the reported annoyance increased from 2.3 (without drone noise) to 6.8 (with drone noise), in an 11-point scale (0-not at all, 10-extremely). Based on these results, the concentration of drone operations along flight paths through busy roads might aid in the mitigation of the overall community noise impact caused by drones.