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Department of Brain Sciences
Laboratory of Chemical Senses
1. Journal Articles
Odor quality profile is partially influenced by verbal cues
Bae, Jisub
;
Yi, Ju Yeon
;
Moon, Cheil
Department of Brain Sciences
Laboratory of Chemical Senses
1. Journal Articles
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Title
Odor quality profile is partially influenced by verbal cues
DGIST Authors
Moon, Cheil
Issued Date
2019-12
Citation
Bae, Jisub. (2019-12). Odor quality profile is partially influenced by verbal cues. doi: 10.1371/journal.pone.0226385
Type
Article
Article Type
Article
Keywords
PERCEPTION
;
REPRESENTATIONS
;
DISCRIMINATION
;
IDENTIFICATION
;
FEATURES
;
CORTEX
;
COLOR
;
CODES
;
SMELL
ISSN
1932-6203
Abstract
Characterizing an odor quality is difficult for humans. Ever-increasing physiological and behavioral studies have characterized odor quality and demonstrated high performance of human odor categorization. However, there are no precise methods for measuring the multidimensional axis of an odor quality. Furthermore, it can be altered by individual experience, even when using existing measurement methods for the multidimensional axis of odor such as odor profiling. It is, therefore, necessary to characterize patterns of odor quality with odor profiling and observe alterations in odor profiles under the influence of subjective rating conditions such as verbal cues. Considering the high performance of human odor categorization, we hypothesized that odor may have specific odor quality that is scarcely altered by verbal cues. We assessed odor responses to isovaleric acid with and without verbal cues and compared the results in each stimulation condition. We found that verbal cues influenced the rating of odor quality descriptors. Verbal cues weakly influenced the odor quality descriptors of high-rated value (upper 25%) compared to odor quality descriptors of low-rated value (lower 75%) by the survey test. Even under different verbal cue conditions, the same odor was classified in the same class when using high-rated odor quality descriptors. Our study suggests that people extract essential odor quality descriptors that represent the odor itself in order to efficiently quantify odor quality. © 2019 Bae et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
URI
http://hdl.handle.net/20.500.11750/11383
DOI
10.1371/journal.pone.0226385
Publisher
Public Library of Science
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