Evidence map›Paper›PMID 32730278›Full record

ArticlePloS one2020

A network model of affective odor perception.

Yingxuan Liu, Alexander Toet, Tanja Krone, Robin van Stokkum, Sophia Eijsman, Jan B F van Erp

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Yingxuan LiuPerceptual and Cognitive Systems, TNO, Soesterberg, The Netherlands.
Alexander ToetPerceptual and Cognitive Systems, TNO, Soesterberg, The Netherlands.ORCID 0000-0003-1051-5422
Tanja KroneRisk Analysis for Products in Development RAPID, TNO, Zeist, The Netherlands.ORCID 0000-0003-4902-9907
Robin van StokkumRisk Analysis for Products in Development RAPID, TNO, Zeist, The Netherlands.ORCID 0000-0002-1988-9896
Sophia EijsmanPerceptual and Cognitive Systems, TNO, Soesterberg, The Netherlands.
Jan B F van ErpPerceptual and Cognitive Systems, TNO, Soesterberg, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Models, BiologicalNeural Networks, ComputerArousalConfidence IntervalsFemaleHumansMaleOdorantsOlfactory PerceptionPhysical StimulationYoung Adult

Identifiers

PMID32730278
PMCPMC7392242

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.