Choosing from an Optimal Number of Options Makes Curry and Tea More Palatable.

choice curry palatability perception tea the number of options

Journal

Foods (Basel, Switzerland)
ISSN: 2304-8158
Titre abrégé: Foods
Pays: Switzerland
ID NLM: 101670569

Informations de publication

Date de publication:
29 Apr 2019
Historique:
received: 29 03 2019
revised: 21 04 2019
accepted: 24 04 2019
entrez: 1 5 2019
pubmed: 1 5 2019
medline: 1 5 2019
Statut: epublish

Résumé

Previous studies have shown that affording people choice increases their satisfaction with subsequent experiences: the choice effect. However, it remains unclear whether the choice effect occurs in the hedonic response to foods and beverages. Thus, the present study aimed to demonstrate the choice effect on the palatability perception. Ready-to-serve curries and tea were presented as options in Experiment 1 and Experiment 2, respectively. Experiment 1 failed to demonstrate significant differences among palatability ratings for a curry chosen by participants and for a curry chosen by the experimenter. However, Experiment 2 demonstrated that participants perceived a tea chosen by themselves as more palatable than another tea chosen by the experimenter, regardless of the fact that the two cups of tea were identical. Intriguingly, the effect was obtained only when the number of options was neither too small nor too big. These results indicate that the exercise of choice from an optimal number of options, even when the choice is ostensible and illusory, makes people perceive their chosen foods and beverages as being more palatable. Some implications for the domain of food business are also discussed.

Identifiants

pubmed: 31035669
pii: foods8050145
doi: 10.3390/foods8050145
pmc: PMC6560510
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Research Institute of Electrical Communication, Tohoku University
ID : H30/A15

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Auteurs

Takuya Onuma (T)

Department of Management and Business, Faculty of Humanity-oriented Science and Engineering, Kindai University, Kayanomori 11-6, Iizuka, Fukuoka 820-8555, Japan. t.onuma@fuk.kindai.ac.jp.

Nobuyuki Sakai (N)

Department of Psychology, Graduate School of Arts and Letters, Tohoku University, Kawauchi 27-1, Aoba-ku, Sendai 980-8576, Japan. nob_sakai@tohoku.ac.jp.
Multimodal Cognitive System Laboratory, Research Institute of Electrical Communication, Tohoku University, Katahira 2-1-1, Aoba-ku, Sendai 980-8577, Japan. nob_sakai@tohoku.ac.jp.
Advanced Institute for Yotta Informatics, Tohoku University, Kawauchi 27-1, Aoba-ku, Sendai 980-8576, Japan. nob_sakai@tohoku.ac.jp.

Classifications MeSH