Ward, Ryan JJ 
ORCID: 0000-0002-9850-5191, Wuerger, Sophie MM ORCID: 0000-0003-0080-5813, Ashraf, Maliha ORCID: 0000-0002-8142-5611 and Marshall, Alan ORCID: 0000-0002-8058-5242
(2023)
Physicochemical features partially explain olfactory crossmodal correspondences.
SCIENTIFIC REPORTS, 13 (1).
10590-.
|
PDF
Physicochemical features partially explain olfactory crossmodal correspondences.pdf - Open Access published version Download (3MB) | Preview |
Abstract
During the olfactory perception process, our olfactory receptors are thought to recognize specific chemical features. These features may contribute towards explaining our crossmodal perception. The physicochemical features of odors can be extracted using an array of gas sensors, also known as an electronic nose. The present study investigates the role that the physicochemical features of olfactory stimuli play in explaining the nature and origin of olfactory crossmodal correspondences, which is a consistently overlooked aspect of prior work. Here, we answer the question of whether the physicochemical features of odors contribute towards explaining olfactory crossmodal correspondences and by how much. We found a similarity of 49% between the perceptual and the physicochemical spaces of our odors. All of our explored crossmodal correspondences namely, the angularity of shapes, smoothness of textures, perceived pleasantness, pitch, and colors have significant predictors for various physicochemical features, including aspects of intensity and odor quality. While it is generally recognized that olfactory perception is strongly shaped by context, experience, and learning, our findings show that a link, albeit small (6-23%), exists between olfactory crossmodal correspondences and their underlying physicochemical features.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Emotions, Learning, Smell, Olfactory Perception, Electronic Nose |
| Divisions: | Faculty of Health and Life Sciences Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science Faculty of Science and Engineering > IDEAS Faculty of Health and Life Sciences > Institute of Population Health |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 20 Jul 2023 12:50 |
| Last Modified: | 13 Oct 2023 10:21 |
| DOI: | 10.1038/s41598-023-37770-1 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3171812 |
Dimensions
Dimensions
