2017
DOI: 10.1016/j.apacoust.2016.05.026
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Experience sampling: Assessing urban soundscapes using in-situ participatory methods

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Cited by 16 publications
(9 citation statements)
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“…Based on existing schemata of sonic categories, we generated an analytical framework from within the data. Following an extensive process of listening through participants' descriptions, and taking into consideration prior work in both perceptual science and applied acoustics (Bregman 1993;Gaver 1993;Kogan et al, 2016;Craig et al, 2017), the research team arrived at an analytical framework that distinguishes between descriptive, associational, narrative, spatial, and experiential dimensions of listener experience. This framework bears necessary resemblance to Tuuri and Eerola's (2012) denotative dimensions including causal, empathetic, functional, and semantic ways of listening; however they depart in order to stay cohesive in relation to a narrative temporal framework of source identification and perception.…”
Section: Analytical Framework -Semantic Content Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Based on existing schemata of sonic categories, we generated an analytical framework from within the data. Following an extensive process of listening through participants' descriptions, and taking into consideration prior work in both perceptual science and applied acoustics (Bregman 1993;Gaver 1993;Kogan et al, 2016;Craig et al, 2017), the research team arrived at an analytical framework that distinguishes between descriptive, associational, narrative, spatial, and experiential dimensions of listener experience. This framework bears necessary resemblance to Tuuri and Eerola's (2012) denotative dimensions including causal, empathetic, functional, and semantic ways of listening; however they depart in order to stay cohesive in relation to a narrative temporal framework of source identification and perception.…”
Section: Analytical Framework -Semantic Content Analysismentioning
confidence: 99%
“…The purpose of our discussion is to give interaction and interface designers a novel take on listener experience in augmented environments. Studies in the evaluation of everyday soundscapes use approaches ranging from card sorting exercises with pre-prescribed sound categories, to retrospective accounts of sound experiences; day-long journaling, with sound being presented to participants as audio recordings or in a real-life context (Kogan et al, 2016;Craig et al, 2017). Kogan et al's (2016) study was set up to actually poll participants about their listening experiences in the moment through a multidimensional questionnaire organized around several components including familiarity, mental and physical state, listening to sound sources, assessment, extra-auditory perception, as well as listener expectations and coherence.…”
Section: Introductionmentioning
confidence: 99%
“…28 This framework is supported by Craig, Moure and Knox, who postulate that the variation in perception of soundscape is attributable to the contextual issues that face the listener. 7 One other important variable that effects soundscape perception is expectation. The expectation of soundscape can be defined as "a strong belief that something will happen or to be the case in the future, or the series of events which are anticipated prior to an experience".…”
Section: Soundscape Perception-related Factorsmentioning
confidence: 99%
“…Part 3 of the ISO 12913 series builds on Part 2 and provides guidelines for analyzing data gathered using only those methods [6]. However, the range of possible methodological approaches to soundscape data collection is much broader and it includes, for instance, laboratory experiments [2,7,8], pseudo-randomized experience sampling [9], and even non-participatory studies [10]. The protocol described in this paper was designed having in mind the need for a relatively large soundscape dataset that could be used for design and modeling purposes, thus trying to expand the scope of soundwalks that typically deal with much smaller samples of participants [11].…”
Section: Introductionmentioning
confidence: 99%