title: A model for the perception of environmental sound based on notice-events.
abstract: An approach is proposed to shed light on the mechanisms underlying human perception of environmental sound that intrudes in everyday living. Most research on exposure-effect relationships aims at relating overall effects to overall exposure indicators in an epidemiological fashion, without including available knowledge on the possible underlying mechanisms. Here, it is proposed to start from available knowledge on audition and perception to construct a computational framework for the effect of environmental sound on individuals. Obviously, at the individual level additional mechanisms (inter-sensory, attentional, cognitive, emotional) play a role in the perception of environmental sound. As a first step, current knowledge is made explicit by building a model mimicking some aspects of human auditory perception. This model is grounded in the hypothesis that long-term perception of environmental sound is determined primarily by short notice-events. The applicability of the notice-event model is illustrated by simulating a synthetic population exposed to typical Flemish environmental noise. From these simulation results, it is demonstrated that the notice-event model is able to mimic the differences between the annoyance caused by road traffic noise exposure and railway traffic noise exposure that are also observed empirically in other studies and thus could provide an explanation for these differences.
authors.affiliation: Department of Electrical Engineering and Computer Sciences, Computer Science Division, University of California at Berkeley, Berkeley, CA 94720-1776, USA. bert.decoensel@intec.ugent.be.
authors.forename: Bert
authors.initials: B
authors.lastname: De Coensel
authors.forename: Dick
authors.initials: D
authors.lastname: Botteldooren
authors.forename: Tom
authors.initials: T
authors.lastname: De Muer
authors.forename: Birgitta
authors.initials: B
authors.lastname: Berglund
authors.forename: Mats E
authors.initials: ME
authors.lastname: Nilsson
authors.forename: Peter
authors.initials: P
authors.lastname: Lercher
mesh_terms: D000465:Algorithms; D001288:Attention; D001307:Auditory Perception; D001336:Automobiles; D003198:Computer Simulation; D004777:Environment; D006185:Habituation, Psychophysiologic; D006801:Humans; D008960:Models, Psychological; D009624:Noise, Transportation; D011890:Railroads; D013016:Sound; D013997:Time Factors