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.

Environmental noise, annoyance and sleep disturbance

Abstract: Summary A rough estimate of the number of people in the EU exposed to environmental noise (from road traffic, railway traffic and aircraft) above a day-evening-night-level of 55 dB(A) is 150 million (40 per cent), including about 120 million people exposed to road traffic noise. Adverse environmental noise-induced health effects mainly are annoyance, sleep disturbance, stress-related somatic effects, effects on learning in children, and possibly hearing damage. These effects occur in a substantial part of the EU population. In this chapter the relationships between annoyance and noise exposure to various types of environmental noise are given. With respect to sleep disturbance, this chapter discusses effects of night time noise on motility (motoric unrest), self-reported sleep disturbance, and self-assessed awakening.

Sound quality metric indicators of rotorcraft noise annoyance using multilevel regression analysis

Abstract: It is hypothesized that sound quality metrics, particularly loudness, sharpness, tonality, impulsiveness, fluctuation strength, and roughness, could all be possible indicators of the reported annoyance to helicopter noise. To test this hypothesis, a psychoacoustic test was recently conducted in which subjects rated their annoyance levels to synthesized helicopter sounds [Krishnamurthy, InterNoise2018, Paper 1338]. After controlling for loudness, linear regression identified sharpness and tonality as important factors in predicting annoyance, followed by fluctuation strength. Current work focuses on multilevel regression techniques in which the regression slopes and intercepts are assumed to take on normal distributions across subjects. The importance of each metric is evaluated one-by-one, and the variation among subjects is evaluated using simple models. Then, more complete models are investigated, which include the combination of selected metrics and subject-specific effects. While the conclusions from linear regression analysis are affirmed by multilevel analysis, other important effects emerge. In particular, variable intercepts are shown to be more important than variable slopes. In this framework, the relative importance of sound quality metrics is re- examined, and the potential for the modeling of human annoyance to helicopter noise based on sound quality metrics is explored.

Detectability and annoyance of artifacts in watermarked digital videos

Abstract: This paper presents an evaluation of the annoyance and visibility of the artifacts generated by embedding a watermark into a video. To measure the detection threshold and mean annoyance values, a psychophysical experiment is carried out. The results show that the choice of the image to be embedded into the video does not affect the visibility and annoyance of the artifacts significantly. The mean annoyance curve can vary considerably depending on the physical characteristics of the particular video.