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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.


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Journal ArticleDOI
TL;DR: In this paper, the authors investigated seated subjects' perception of railway induced groundborne vibration in the vertical direction and found that the perceived vibration stimuli can be described by a small number of perceptual dimensions.
Abstract: This paper presents a study investigating seated subjects' perception of railway induced groundborne vibration in the vertical direction. Previous studies into the perception of railway induced vibration have treated this phenomenon as a unidimensional problem. The aim of the study detailed in this paper is to determine if the perception of railway induced groundborne vibration is multidimensional in nature and if the resulting perceptual dimensions can be related to a measure of annoyance. Twenty-one subjects took part in paired comparison tests of similarity and annoyance. These tests were conducted using fourteen measured vibration stimuli selected to be representative of groundborne vibration induced by railway activities in the United Kingdom. Through multidimensional scaling analysis, it is shown that the perception of railway induced vibration is dependent on up to four perceptual dimensions. These dimensions relate to energy in the 16 Hz 1/3 octave band (α 16Hz), energy in the 32 Hz 1/3 octave band (α 32Hz), the duration of the train passage (T 10dB), and the modulation frequency of the envelope of the signal (f mod). These perceptual dimensions are shown to be related to single figure Perceived Annoyance Ratings (α) by the following relationship: A = −0.40+4.57α 16Hz+3.18α 32Hz+0.02T 10dB+0.02f mod. Finally, the single figure Perceived Annoyance Ratings are related to categorical ratings of annoyance via a logistic regression model. These findings confirm the hypothesis that the perception of complex vibration stimuli is multidimensional and can be described by a small number of perceptual dimensions.

16 citations

01 Jan 2017
TL;DR: In this paper, the authors investigated the relationship between current noise metrics, annoyance, and task performance under various tonal noise conditions through subjective testing and found that loudness metrics are most highly correlated with annoyance responses, while tonality metrics demonstrate relatively less but also significant correlation with annoyance.
Abstract: Audible tones in noise generated by building mechanical equipment can be a leading cause of complaints from occupants. A number of metrics have been developed to quantify prominence of a tone, but previous work has shown that the impact of a certain tonality appears to vary with the level of the broadband noise signal. More work on how tonal signals of varying tonality, tone frequency and broadband noise levels relate to annoyance and task performance is needed. This paper investigates such relationships between current noise metrics, annoyance and task performance under assorted tonal noise conditions through subjective testing. Participants rated their perceived annoyance after being exposed to noise signals with differing levels of tones while solving Sudoku puzzles. In addition to assessing annoyance, the test also surveyed the perceived workload caused by the noise by using a modified noise-induced task load index questionnaire. Five levels of tonal prominence for each of two tonal frequencies were added above two different ambient background noise levels to create 20 noise signals of interest. The task performance results based on the Sudoku puzzle answers show trends of decreasing accuracy with increasing tone strengths, but the differences are not statistically significant. Other findings are that loudness metrics are most highly correlated with annoyance responses, while tonality metrics demonstrate relatively less but also significant correlation with annoyance. Generally, participants felt more annoyed with higher background noise levels, lower tone frequency and more prominent tone strength. Based on correlation analysis, a multiple regression model using two of the most strongly correlated noise metrics, ANSI loudness level and tonal audibility, has been developed for predicting annoyance responses from tonal noise conditions.

16 citations

Journal ArticleDOI
Xieqi Chen1, Jianhui Lin1, Hang Jin, Yan Huang1, Zechao Liu 
TL;DR: This study compares the interior acoustics in rail vehicles by Zwicker’s model and proposes the new EEG psychoacoustic annoyance indices to calculate the passengers’ psychoacoustics annoyance with EEG sub-bands with validation of this index and the comparison existing features have been made from the experiment carried on the high-speed train.

16 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023187
2022275
202166
202055
201968
201890