Social modeling is a powerful influence on people's food intake: When there is a clear and consistent norm, people eat more when eating with someone who eats a lot and eat less when eating with someone who eats only a little. In three studies, the present research examined how clear versus ambiguous social-normative information influences the modeling of food-related decisions. Using a novel online decision-making paradigm, female participants (total N = 1042) were provided with information about how many cookies previous participants had supposedly selected (no information was provided in the control condition), and then decided how many cookies they would choose for a snack. When there was a clear and consistent norm, the typical social modeling effect was observed. When there was a small number of "dissenters" whose responses conflicted with the norm set by the majority, participants' cookie selection still conformed to the behaviour of the majority (Studies 1 and 2). It was only when the behaviour of the previous participants was highly ambiguous that participants behaved as if they had been given no normative information (Study 3). By demonstrating that, except in extreme cases, people use the available information to discern a social norm that influences their behaviour, these findings highlight the power of social norms related to food-related decisions.
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http://dx.doi.org/10.1016/j.appet.2022.106095 | DOI Listing |
J Nutr Gerontol Geriatr
November 2024
Food Science and Human Nutrition, Iowa State University, Ames, Iowa, USA.
Upon entering long-term care (LTC) homes, residents relinquish control over their daily life choices, which may influence life satisfaction. This study explored hypothesized relationships among the concepts of person-centered care, locus of control (LOC), and life satisfaction of LTC residents. Survey data were collected and analyzed from 154 residents of 16 skilled nursing facilities in the Midwest.
View Article and Find Full Text PDFNutrients
October 2024
Institute of Agricultural and Food Economics, Hungarian University of Agriculture and Life Sciences, Villányi Street 29-43, H-1118 Budapest, Hungary.
Background/objectives: The growing concern about the environmental impacts of consumption has led to the emergence of so-called "eco-guilt"-a psychological construct reflecting the guilt felt by individuals about the environmental consequences of their choices, which plays a prominent role among the factors influencing pro-environmental behavior. Although eco-guilt has already emerged in other service sectors, such as tourism, and general scales exist to measure it, no such scale exists in the context of food consumption. The aim of this research is to develop and validate a scale to measure eco-guilt related to food consumption.
View Article and Find Full Text PDFFront Nutr
August 2024
Department of Computer Systems, Jožef Stefan Institute, Ljubljana, Slovenia.
Introduction: Recognizing and extracting key information from textual data plays an important role in intelligent systems by maintaining up-to-date knowledge, reinforcing informed decision-making, question-answering, and more. It is especially apparent in the food domain, where critical information guides the decisions of nutritionists and clinicians. The information extraction process involves two natural language processing tasks named entity recognition-NER and named entity linking-NEL.
View Article and Find Full Text PDFJMIR Res Protoc
September 2024
Department of Primary Care and Family Health, Universidad de Chile, Santiago, Chile.
Background: Food environments are crucial for promoting healthy and sustainable eating and preventing obesity. However, existing food environment frameworks assume an already installed causality and do not explain how associations in food environments are established or articulated, especially from an integrative and transdisciplinary approach. This research attempts to bridge these gaps through the use of Actor-Network Theory, which traces the relationship network between human (and nonhuman) actors in order to describe how these interact and what agencies (direct or remote) are involved.
View Article and Find Full Text PDFFoods
August 2024
School of Business, Ningbo University, Ningbo 315211, China.
Visual density, defined as the number of identifiable elements per unit area within a visual design, significantly influences consumer perceptions. This study investigates the effects of varying visual densities in pizza packaging, encompassing both food-related and decorative elements, on consumers' expectations regarding taste and texture, ultimately influencing their purchase decisions. We conducted a controlled experiment where participants were presented with pizza boxes of differing visual densities.
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