A network model of affective odor perception
| Autor: | Alexander Toet, Robin van Stokkum, Yingxuan Liu, Jan B. F. van Erp, Sophia Eijsman, Tanja Krone |
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| Přispěvatelé: | Human Media Interaction |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Male
Odor detection threshold Emotions Social Sciences Infographics chemistry.chemical_compound 0302 clinical medicine Models Odor Medicine and Health Sciences Centrality Psychology Data Management media_common Multidisciplinary musculoskeletal neural and ocular physiology 05 social sciences Smell Human experiment Physical Sciences Medicine Sensory Perception Network analysis Female Anatomy Arousal Graphs psychological phenomena and processes Research Article Cognitive psychology Human Personality Adult Computer and Information Sciences Permutation Science media_common.quotation_subject Defence Safety and Security Major clinical study Models Biological 050105 experimental psychology Young Adult 03 medical and health sciences Physical Stimulation Perception Confidence Intervals Facial Expressions Humans 0501 psychology and cognitive sciences Nonverbal Communication Valence (psychology) Affective appraisal Behavior Odor perception Discrete Mathematics Data Visualization Cognitive Psychology Biology and Life Sciences Gender Olfactory Perception chemistry Combinatorics Face Odorants Cognitive Science Neural Networks Computer Head Controlled study Mathematics 030217 neurology & neurosurgery Neuroscience |
| Zdroj: | PLoS ONE, 15(7):e0236468. Public Library of Science PloS one, 7, 15 PLoS ONE, Vol 15, Iss 7, p e0236468 (2020) PLoS ONE Plos One, 7, 15, e0236468 |
| ISSN: | 1932-6203 |
| Popis: | The affective appraisal of odors is known to depend on their intensity (I), familiarity (F), detection threshold (T), and on the baseline affective state of the observer. However, the exact nature of these relations is still largely unknown. We therefore performed an observer experiment in which participants (N = 52) smelled 40 different odors (varying widely in hedonic valence) and reported the intensity, familiarity and their affective appraisal (valence and arousal: V and A) for each odor. Also, we measured the baseline affective state (valence and arousal: BV and BA) and odor detection threshold of the participants. Analyzing the results for pleasant and unpleasant odors separately, we obtained two models through network analysis. Several relations that have previously been reported in the literature also emerge in both models (the relations between F and I, F and V, I and A; I and V, BV and T). However, there are also relations that do not emerge (between BA and V, BV and I, and T and I) or that appear with a different polarity (the relation between F and A for pleasant odors). Intensity (I) has the largest impact on the affective appraisal of unpleasant odors, while F significantly contributes to the appraisal of pleasant odors. T is only affected by BV and has no effect on other variables. This study is a first step towards an integral study of the affective appraisal of odors through network analysis. Future studies should also include other factors that are known to influence odor appraisal, such as age, gender, personality, and culture. |
| Databáze: | OpenAIRE |
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