Suppr超能文献

情感图片与情感食物开放库(OLAF):用于研究成年人对食物情感的工具。

Affective Pictures and the Open Library of Affective Foods (OLAF): Tools to Investigate Emotions toward Food in Adults.

作者信息

Miccoli Laura, Delgado Rafael, Guerra Pedro, Versace Francesco, Rodríguez-Ruiz Sonia, Fernández-Santaella M Carmen

机构信息

The University of Granada Mind, Brain, and Behavior Research Center (CIMCYC), Granada, Spain.

The University of Oklahoma Stephenson Cancer Center, Department of Family & Preventive Medicine, Oklahoma Tobacco Research Center, Oklahoma City, Oklahoma, United States of America.

出版信息

PLoS One. 2016 Aug 11;11(8):e0158991. doi: 10.1371/journal.pone.0158991. eCollection 2016.

Abstract

Recently, several sets of standardized food pictures have been created, supplying both food images and their subjective evaluations. However, to date only the OLAF (Open Library of Affective Foods), a set of food images and ratings we developed in adolescents, has the specific purpose of studying emotions toward food. Moreover, some researchers have argued that food evaluations are not valid across individuals and groups, unless feelings toward food cues are compared with feelings toward intense experiences unrelated to food, that serve as benchmarks. Therefore the OLAF presented here, comprising a set of original food images and a group of standardized highly emotional pictures, is intended to provide valid between-group judgments in adults. Emotional images (erotica, mutilations, and neutrals from the International Affective Picture System/IAPS) additionally ensure that the affective ratings are consistent with emotion research. The OLAF depicts high-calorie sweet and savory foods and low-calorie fruits and vegetables, portraying foods within natural scenes matching the IAPS features. An adult sample evaluated both food and affective pictures in terms of pleasure, arousal, dominance, and food craving, following standardized affective rating procedures. The affective ratings for the emotional pictures corroborated previous findings, thus confirming the reliability of evaluations for the food images. Among the OLAF images, high-calorie sweet and savory foods elicited the greatest pleasure, although they elicited, as expected, less arousal than erotica. The observed patterns were consistent with research on emotions and confirmed the reliability of OLAF evaluations. The OLAF and affective pictures constitute a sound methodology to investigate emotions toward food within a wider motivational framework. The OLAF is freely accessible at digibug.ugr.es.

摘要

最近,已经创建了几套标准化的食物图片,提供食物图像及其主观评价。然而,到目前为止,只有我们在青少年中开发的一组食物图像和评分——情感食物开放库(OLAF),具有研究对食物的情感这一特定目的。此外,一些研究人员认为,除非将对食物线索的感受与对与食物无关的强烈体验的感受进行比较,以此作为基准,否则食物评价在个体和群体之间是无效的。因此,这里展示的OLAF,包括一组原始食物图像和一组标准化的高度情绪化图片,旨在为成年人提供有效的组间判断。情绪化图像(来自国际情感图片系统/IAPS的色情、残缺和中性图像)还确保情感评分与情感研究一致。OLAF描绘了高热量的甜咸食物以及低热量的水果和蔬菜,在与IAPS特征相匹配的自然场景中展现食物。一个成年人样本按照标准化的情感评分程序,对食物和情感图片在愉悦度、唤醒度、支配度和食物渴望方面进行了评价。对情感图片的情感评分证实了先前的研究结果,从而确认了对食物图像评价的可靠性。在OLAF图像中,高热量的甜咸食物引发了最大的愉悦感,尽管正如预期的那样,它们引发的唤醒度低于色情图片。观察到的模式与情感研究一致,并证实了OLAF评价的可靠性。OLAF和情感图片构成了一种在更广泛的动机框架内研究对食物情感的可靠方法。OLAF可在digibug.ugr.es上免费获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5940/4981440/93db0dcf3960/pone.0158991.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验