A hierarchical-drift diffusion model of the roles of hunger, caloric density and valence in food selection
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.12/7724 |
Resumo: | Decisions based on affectively relevant stimuli, such as food items, hardly follow strictly rational rules. Being hungry, the food's caloric density, and the subjective valence attributed to various foods are known factors that modulate food choices. Yet, how these factors relatively and altogether contribute to the food choice process is still unknown. In this study, we showed 16 healthy young adults low- and high-calorie food when hungry or fed, and we asked them to evaluate the valence of each visually-presented food. To compute the relative influence of hunger, caloric density and valence on food choice, we applied a hierarchical drift diffusion model (HDDM). Results indicated that hunger, caloric density and valence affected how fast participants accumulated information in favor of the chosen item over the other. When fed, participants were faster in choosing low-calorie foods and foods with a higher valence. Conversely, when hungry, participants were faster in choosing high-calorie foods, including food items with lower subjective valence. All in all, these findings confirm the complex nature of food choices and the usefulness of nuanced computational models to address the multifaceted nature of decision-making and value assessment processes affecting food selection. |
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A hierarchical-drift diffusion model of the roles of hunger, caloric density and valence in food selectionDecision-makingFood choiceDrift-diffusion modelBayesian inferenceHungerDecisions based on affectively relevant stimuli, such as food items, hardly follow strictly rational rules. Being hungry, the food's caloric density, and the subjective valence attributed to various foods are known factors that modulate food choices. Yet, how these factors relatively and altogether contribute to the food choice process is still unknown. In this study, we showed 16 healthy young adults low- and high-calorie food when hungry or fed, and we asked them to evaluate the valence of each visually-presented food. To compute the relative influence of hunger, caloric density and valence on food choice, we applied a hierarchical drift diffusion model (HDDM). Results indicated that hunger, caloric density and valence affected how fast participants accumulated information in favor of the chosen item over the other. When fed, participants were faster in choosing low-calorie foods and foods with a higher valence. Conversely, when hungry, participants were faster in choosing high-calorie foods, including food items with lower subjective valence. All in all, these findings confirm the complex nature of food choices and the usefulness of nuanced computational models to address the multifaceted nature of decision-making and value assessment processes affecting food selection.01956663Repositório do ISPAGarlasco, P.Osimo, S.A.Rumiati, Raffaella IdaParma, Valentina2020-07-28T13:23:39Z2019-01-01T00:00:00Z2019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.12/7724engAppetite, 138, 52-59 Doi: 10.1016/j.appet.2019.03.0090195666310.1016/j.appet.2019.03.009info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-09-05T16:43:28Zoai:repositorio.ispa.pt:10400.12/7724Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:25:34.344869Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
A hierarchical-drift diffusion model of the roles of hunger, caloric density and valence in food selection |
title |
A hierarchical-drift diffusion model of the roles of hunger, caloric density and valence in food selection |
spellingShingle |
A hierarchical-drift diffusion model of the roles of hunger, caloric density and valence in food selection Garlasco, P. Decision-making Food choice Drift-diffusion model Bayesian inference Hunger |
title_short |
A hierarchical-drift diffusion model of the roles of hunger, caloric density and valence in food selection |
title_full |
A hierarchical-drift diffusion model of the roles of hunger, caloric density and valence in food selection |
title_fullStr |
A hierarchical-drift diffusion model of the roles of hunger, caloric density and valence in food selection |
title_full_unstemmed |
A hierarchical-drift diffusion model of the roles of hunger, caloric density and valence in food selection |
title_sort |
A hierarchical-drift diffusion model of the roles of hunger, caloric density and valence in food selection |
author |
Garlasco, P. |
author_facet |
Garlasco, P. Osimo, S.A. Rumiati, Raffaella Ida Parma, Valentina |
author_role |
author |
author2 |
Osimo, S.A. Rumiati, Raffaella Ida Parma, Valentina |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Repositório do ISPA |
dc.contributor.author.fl_str_mv |
Garlasco, P. Osimo, S.A. Rumiati, Raffaella Ida Parma, Valentina |
dc.subject.por.fl_str_mv |
Decision-making Food choice Drift-diffusion model Bayesian inference Hunger |
topic |
Decision-making Food choice Drift-diffusion model Bayesian inference Hunger |
description |
Decisions based on affectively relevant stimuli, such as food items, hardly follow strictly rational rules. Being hungry, the food's caloric density, and the subjective valence attributed to various foods are known factors that modulate food choices. Yet, how these factors relatively and altogether contribute to the food choice process is still unknown. In this study, we showed 16 healthy young adults low- and high-calorie food when hungry or fed, and we asked them to evaluate the valence of each visually-presented food. To compute the relative influence of hunger, caloric density and valence on food choice, we applied a hierarchical drift diffusion model (HDDM). Results indicated that hunger, caloric density and valence affected how fast participants accumulated information in favor of the chosen item over the other. When fed, participants were faster in choosing low-calorie foods and foods with a higher valence. Conversely, when hungry, participants were faster in choosing high-calorie foods, including food items with lower subjective valence. All in all, these findings confirm the complex nature of food choices and the usefulness of nuanced computational models to address the multifaceted nature of decision-making and value assessment processes affecting food selection. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01T00:00:00Z 2019-01-01T00:00:00Z 2020-07-28T13:23:39Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.12/7724 |
url |
http://hdl.handle.net/10400.12/7724 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Appetite, 138, 52-59 Doi: 10.1016/j.appet.2019.03.009 01956663 10.1016/j.appet.2019.03.009 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
01956663 |
publisher.none.fl_str_mv |
01956663 |
dc.source.none.fl_str_mv |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799130118572998656 |