{"title":"How does viewing food products in 2D or 3D affect consumer evaluations?","authors":"Kazuna Tonooka , Reo Sato , Kosuke Motoki , Shin-ichi Ishikawa","doi":"10.1016/j.foodqual.2024.105382","DOIUrl":null,"url":null,"abstract":"<div><div>This study examines the influence of changes in visual information (2D vs. 3D) and product characteristics (healthy vs. unhealthy) on consumer purchase intention, expected satiety, and expected volume with regard to food products. The participants were asked to answer a questionnaire for each food sample displayed in 2D or 3D. The results reveal that the 3D food model has significantly higher scores for expected volume and satiety than does the 2D model, along with a significant interaction between visual information and product characteristics. For healthy foods, the expected volume, expected satiety, and purchase intention were significantly higher in the 2D than in the 3D model. For unhealthy foods, scores for the three variables were significantly higher in the 3D than in the 2D food model. This indicates an inverse relationship based on the healthiness of the food product. The study posits that changing the visual information from 2D to 3D strengthened the image of healthy and unhealthy foods as having low and high volumes, respectively, resulting in a more favorable purchase intention. The results of this study advance our understanding of the applicability of different image types when promoting food products, thereby enabling and guiding well-informed decisions of online retailers and other stakeholders in the design of food products for advertisements and other purposes in the food service industry.</div></div>","PeriodicalId":322,"journal":{"name":"Food Quality and Preference","volume":"125 ","pages":"Article 105382"},"PeriodicalIF":4.9000,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Quality and Preference","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0950329324002842","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This study examines the influence of changes in visual information (2D vs. 3D) and product characteristics (healthy vs. unhealthy) on consumer purchase intention, expected satiety, and expected volume with regard to food products. The participants were asked to answer a questionnaire for each food sample displayed in 2D or 3D. The results reveal that the 3D food model has significantly higher scores for expected volume and satiety than does the 2D model, along with a significant interaction between visual information and product characteristics. For healthy foods, the expected volume, expected satiety, and purchase intention were significantly higher in the 2D than in the 3D model. For unhealthy foods, scores for the three variables were significantly higher in the 3D than in the 2D food model. This indicates an inverse relationship based on the healthiness of the food product. The study posits that changing the visual information from 2D to 3D strengthened the image of healthy and unhealthy foods as having low and high volumes, respectively, resulting in a more favorable purchase intention. The results of this study advance our understanding of the applicability of different image types when promoting food products, thereby enabling and guiding well-informed decisions of online retailers and other stakeholders in the design of food products for advertisements and other purposes in the food service industry.
期刊介绍:
Food Quality and Preference is a journal devoted to sensory, consumer and behavioural research in food and non-food products. It publishes original research, critical reviews, and short communications in sensory and consumer science, and sensometrics. In addition, the journal publishes special invited issues on important timely topics and from relevant conferences. These are aimed at bridging the gap between research and application, bringing together authors and readers in consumer and market research, sensory science, sensometrics and sensory evaluation, nutrition and food choice, as well as food research, product development and sensory quality assurance. Submissions to Food Quality and Preference are limited to papers that include some form of human measurement; papers that are limited to physical/chemical measures or the routine application of sensory, consumer or econometric analysis will not be considered unless they specifically make a novel scientific contribution in line with the journal''s coverage as outlined below.