Eye-tracking research on sensory and consumer science: A review, pitfalls and future directions.

Consumer psychology Eye tracking Food Food choice Gazing Sensory science Visual attention Visual decision-making

Journal

Food research international (Ottawa, Ont.)
ISSN: 1873-7145
Titre abrégé: Food Res Int
Pays: Canada
ID NLM: 9210143

Informations de publication

Date de publication:
07 2021
Historique:
received: 27 12 2020
revised: 11 04 2021
accepted: 03 05 2021
entrez: 11 6 2021
pubmed: 12 6 2021
medline: 30 6 2021
Statut: ppublish

Résumé

Visual processing is a core cognitive element of sensory and consumer science. Consumers visually attend to food types, packaging, label design, advertisements, supermarket shelves, food menus, and other visible information. During the past decade, sensory and consumer science have used eye tracking to elucidate visual processing by consumers. This review paper summarizes earlier findings in terms of bottom-up (i.e., stimulus-driven) processing such as visual salience, size, and top-down (i.e., goal-driven) processing such as goals, task instructions, task complexity, and emotions. Downstream effects of gaze on choice are also reviewed. Pitfalls and future directions of eye-tracking research on sensory and consumer science are also discussed.

Identifiants

pubmed: 34112392
pii: S0963-9969(21)00288-X
doi: 10.1016/j.foodres.2021.110389
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

110389

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Kosuke Motoki (K)

Department of Food Science and Business, Miyagi University, 2-2-1 Hatatate, Taihaku, Sendai 982-0215, Japan. Electronic address: motokik@myu.ac.jp.

Toshiki Saito (T)

Institute of Development, Aging and Cancer, Tohoku University, 4-1, Seiryo-machi Aoba, Sendai, Japan. Electronic address: toshiki.saito@med.tohoku.ac.jp.

Takuya Onuma (T)

Department of Management and Business, Faculty of Humanity-oriented Science and Engineering, Kindai University, Fukuoka, Japan. Electronic address: t.onuma@fuk.kindai.ac.jp.

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Classifications MeSH