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Division of Mobility Technology
1. Journal Articles
The Impact of Odor Category Similarity on Multimedia Experience
Kim, Kwangsu
;
Bae, Jisub
;
Lee, Jeewon
;
Moon, Sun Ae
;
Lee, Sang-Ho
;
Kang, Won-Seok
;
Moon, Cheil
Division of Intelligent Robot
1. Journal Articles
Department of Brain Sciences
Laboratory of Chemical Senses
1. Journal Articles
Division of Mobility Technology
1. Journal Articles
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Title
The Impact of Odor Category Similarity on Multimedia Experience
Issued Date
2024-10
Citation
Kim, Kwangsu. (2024-10). The Impact of Odor Category Similarity on Multimedia Experience. Experimental Neurobiology, 33(5), 238–250. doi: 10.5607/en24020
Type
Article
Author Keywords
EEG
;
Olfactory perception
;
Multimedia
;
Cluster analysis
;
Machine learning
Keywords
EMOTION RECOGNITION
;
THETA-OSCILLATIONS
;
VIDEO DATABASE
;
EEG
;
2-FURANMETHANETHIOL
;
PERFORMANCE
;
ASYMMETRY
;
QUALITY
;
BRAIN
;
AROMA
ISSN
1226-2560
Abstract
Although we have multiple senses, multimedia mainly targets vision and olfaction. To expand the senses impacted by multimedia, olfactory stimulation has been used to enhance the sense of reality. Odors are primarily matched with objects in scenes. However, it is impractical to select all odors that match all objects in a scene and offer them to viewers. As an alternative, offering a single odor in a category as representative of other odors belonging to that category has been suggested. However, it is unclear whether viewers’ responses to videos with multiple odors (e.g., rose, lavender, and lily) from a category (e.g., flowers) are comparable. Therefore, we studied whether odors belonging to a given category could be similar in behavioral congruency and in the five frequency bands (delta, theta, alpha, beta, and gamma) of electroencephalogram (EEG) data collected while viewers watched videos. We conducted questionnaires and EEG experiments to understand the effects of similar odors belonging to categories. Our results showed that similar odors in a specific odor category were more congruent with videos than those in different odor categories. In our EEG data, the delta and theta bands were mainly clustered when odors were offered to viewers in similar categories. The theta band is known to be primarily related to the neural signals of odor information. Our studies showed that choosing odors based on odor categories in multimedia can be feasible. Copyright © Experimental Neurobiology 2024.
URI
http://hdl.handle.net/20.500.11750/57281
DOI
10.5607/en24020
Publisher
The Korean Society for Brain and Neural Sciences
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