A virtual perception method for urban noise: The calculation of noise annoyance threshold and facial emotion expression in the virtual noise scene

Huang, Baoxiang; Pan, Zhenkuan; Zhang, Binsen

doi:10.1016/j.apacoust.2015.06.004

Cited by 10 publications

(4 citation statements)

References 32 publications

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“…Besides happiness, people could also feel annoyed as a reaction to their urban environment, which is mainly related to noise pollution [15]. Studies showed that living close and having access to green areas was related to lower levels of noise annoyance [35,36].…”

Section: Annoyancementioning

confidence: 99%

“…Air quality [15] Green/natural elements [30] Cleaning/ maintenance [34] Perceived safety [34] Smell [34] Noise [37] Smell [19,39] Control over time (e.g., looking for a parking space or traffic jams) [49] Perceived safety [24] Green/natural environments [41,42] Aesthetic quality [6,45,46] Noise [46] Atmosphere/ ambiance of a place [50] Distance to facilities (e.g., shops) [46] Furthermore, only a few studies tried to map emotions to specific places in cities. For instance, Matei, Ball-Rokeach and Qiu [51] tried to visualize feelings of fear and comfort in Los Angeles, based on people's perceived emotional response to places in the city.…”

Section: Satisfaction With Urban Public Space Characteristicsmentioning

confidence: 99%

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Analyzing the Relationships between Citizens’ Emotions and their Momentary Satisfaction in Urban Public Spaces

2020

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It is recognized that the urban environment, and specifically better-experienced urban public space, contribute to people’s subjective well-being. However, research on people’s momentary subjective well-being (i.e., emotional state) in relation to the multiple aspects of urban public spaces is still limited. Therefore, the aim of this study was to analyze people’s emotional state and how this is influenced by the momentary satisfaction with urban public spaces, and also controlling for personal and experience characteristics. Data of 1056 momentary experiences of 161 citizens regarding the urban public space in Eindhoven, The Netherlands, were collected by means of an experience sampling method (ESM). These data were analyzed using a mixed multinomial logit (MMNL) model for each dimension of people’s momentary subjective well-being (i.e., sense of security, comfort, happiness, and annoyance). Results of this study showed that people were happier when they were satisfied with the atmosphere of the public space and felt more secure, comfortable, and less annoyed when they were more satisfied with traffic safety. Results could be used by policymakers and urban planners to create inclusive urban public spaces where people have more positive experiences, which eventually could lead to happier, comfortable, more secure and less annoyed citizens.

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Section: Annoyancementioning

confidence: 99%

Section: Satisfaction With Urban Public Space Characteristicsmentioning

confidence: 99%

Analyzing the Relationships between Citizens’ Emotions and their Momentary Satisfaction in Urban Public Spaces

2020

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“…In some cases, they even found that the result of facial expression analysis worked better than the questionnaire [20]. Contrarily, Huang et al generated facial expressions corresponding to the noise annoyance threshold [21]. They made a face-to-face social survey of 7483 participants in a city in China to provide a broad measure of noise perception by questionnaire and noise level measurement by noise analyser.…”

Section: Correlation Between Sound and Emotionsmentioning

confidence: 99%

Facial Expression Recognition for Measuring Jurors’ Attention in Acoustic Jury Tests

Jamali,

Generosi,

Villafan

et al. 2024

Sensors

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The perception of sound greatly impacts users’ emotional states, expectations, affective relationships with products, and purchase decisions. Consequently, assessing the perceived quality of sounds through jury testing is crucial in product design. However, the subjective nature of jurors’ responses may limit the accuracy and reliability of jury test outcomes. This research explores the utility of facial expression analysis in jury testing to enhance response reliability and mitigate subjectivity. Some quantitative indicators allow the research hypothesis to be validated, such as the correlation between jurors’ emotional responses and valence values, the accuracy of jury tests, and the disparities between jurors’ questionnaire responses and the emotions measured by FER (facial expression recognition). Specifically, analysis of attention levels during different statuses reveals a discernible decrease in attention levels, with 70 percent of jurors exhibiting reduced attention levels in the ‘distracted’ state and 62 percent in the ‘heavy-eyed’ state. On the other hand, regression analysis shows that the correlation between jurors’ valence and their choices in the jury test increases when considering the data where the jurors are attentive. The correlation highlights the potential of facial expression analysis as a reliable tool for assessing juror engagement. The findings suggest that integrating facial expression recognition can enhance the accuracy of jury testing in product design by providing a more dependable assessment of user responses and deeper insights into participants’ reactions to auditory stimuli.

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“…This problem affects residential areas and has mainly focused on urban populations living in buildings [4][5][6]. Studies point out that the main source of annoying noise and vibration in a city is road traffic [7][8][9]. In fact, different types of vehicles, such as cars, trucks, motorcycles, and buses, travel on city streets during the day and night, generating significant levels of noise and vibration [10].…”

Section: Introductionmentioning

confidence: 99%

Noise and vibrations in the urban context of Rome: a case study

De Lieto Vollaro,

Alfaro Degan,

Coltrinari

et al. 2024

Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023

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Noise can be generated by different causes, and the great variation in noise levels is determined by the cumulative effect of 9 have reported associations between exposure to noise, vibration, and annoyance and show that the greatest effects in terms of population prevalence are due to sleep loss and severe annoyances. Moderate speed vehicles, quiet engines, special road surfaces, smooth flow, etc. may be important to achieve comfort improvement. These results motivate the need for noise assessments. The primary objective of this work was to study the effects of noise generated by vehicular traffic in the urban context of Rome and to identify a relationship with level vibrations generated by the same traffic. The data illustrate the measurement campaign carried out in different sites for the purpose of detecting noise levels within the structures. Subsequently, the data obtained compared with vibration levels, and the results confirm a strong relationship between the two physical agents.

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A virtual perception method for urban noise: The calculation of noise annoyance threshold and facial emotion expression in the virtual noise scene

Cited by 10 publications

References 32 publications

Analyzing the Relationships between Citizens’ Emotions and their Momentary Satisfaction in Urban Public Spaces

Analyzing the Relationships between Citizens’ Emotions and their Momentary Satisfaction in Urban Public Spaces

Facial Expression Recognition for Measuring Jurors’ Attention in Acoustic Jury Tests

Noise and vibrations in the urban context of Rome: a case study

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