Listening to sustainable bites: Assessing the influence of sound on sustainable food perceptions and behaviors using a data-driven approach

There is a growing recognition that sound plays a pivotal role in shaping consumer behavior, particularly in the context of food choices. Given that everyday food decisions significantly impact environmental and social outcomes, understanding how auditory cues can guide more sustainable consumption...

Full description

Autores:
Rodríguez Rivera, Brayan Mauricio
Tipo de recurso:
Doctoral thesis
Fecha de publicación:
2025
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/76359
Acceso en línea:
https://hdl.handle.net/1992/76359
Palabra clave:
Sounds
Food perception
Artificial intelligence
Sustainable consumption
Ingeniería
Música
Administración
Psicología
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International
id UNIANDES2_df924091c5157f27389574e8a2c8e8cb
oai_identifier_str oai:repositorio.uniandes.edu.co:1992/76359
network_acronym_str UNIANDES2
network_name_str Séneca: repositorio Uniandes
repository_id_str
dc.title.eng.fl_str_mv Listening to sustainable bites: Assessing the influence of sound on sustainable food perceptions and behaviors using a data-driven approach
title Listening to sustainable bites: Assessing the influence of sound on sustainable food perceptions and behaviors using a data-driven approach
spellingShingle Listening to sustainable bites: Assessing the influence of sound on sustainable food perceptions and behaviors using a data-driven approach
Sounds
Food perception
Artificial intelligence
Sustainable consumption
Ingeniería
Música
Administración
Psicología
title_short Listening to sustainable bites: Assessing the influence of sound on sustainable food perceptions and behaviors using a data-driven approach
title_full Listening to sustainable bites: Assessing the influence of sound on sustainable food perceptions and behaviors using a data-driven approach
title_fullStr Listening to sustainable bites: Assessing the influence of sound on sustainable food perceptions and behaviors using a data-driven approach
title_full_unstemmed Listening to sustainable bites: Assessing the influence of sound on sustainable food perceptions and behaviors using a data-driven approach
title_sort Listening to sustainable bites: Assessing the influence of sound on sustainable food perceptions and behaviors using a data-driven approach
dc.creator.fl_str_mv Rodríguez Rivera, Brayan Mauricio
dc.contributor.advisor.none.fl_str_mv Reyes Barrios, Luis Humberto
Reinoso Carvalho, Felipe
dc.contributor.author.none.fl_str_mv Rodríguez Rivera, Brayan Mauricio
dc.contributor.jury.none.fl_str_mv Sanchez Camargo, Andrea del Pilar
Arboleda Arango, Ana Maria
Campo, Raffaele
dc.contributor.researchgroup.none.fl_str_mv Facultad de Ingeniería::Grupo de Diseño de Productos y Procesos
dc.subject.keyword.eng.fl_str_mv Sounds
Food perception
topic Sounds
Food perception
Artificial intelligence
Sustainable consumption
Ingeniería
Música
Administración
Psicología
dc.subject.keyword.none.fl_str_mv Artificial intelligence
Sustainable consumption
dc.subject.themes.none.fl_str_mv Ingeniería
Música
Administración
Psicología
description There is a growing recognition that sound plays a pivotal role in shaping consumer behavior, particularly in the context of food choices. Given that everyday food decisions significantly impact environmental and social outcomes, understanding how auditory cues can guide more sustainable consumption is both timely and necessary. This thesis explores how sound can be strategically integrated into consumer experiences to influence perceptions of sustainability and promote healthier and more responsible food consumption. The research summarized here investigates the potential of auditory cues, ranging from packaging interaction sounds to tailored music soundscapes, to serve as subtle yet effective nudges that support sustainable decision-making. I hypothesize that sound can modulate perceptual and affective perceptions through crossmodal and cognitive mechanisms, and that these influences can be predicted and enhanced using artificial intelligence (AI). Rather than focusing solely on direct taste-sound interactions, this work situates auditory cues within broader multisensory and conceptual contexts, including product sounds mitigating negative affective associations, voiceovers disclosing ethical product origins, music influencing olfactory freshness, and soundscapes designed to evoke abstract sustainability concepts. At the core of this thesis are empirical studies and machine learning models that integrate experimental psychology, consumer behavior, and music information retrieval (MIR). This transdisciplinary research applies sound-based interventions across domains linked to key Sustainable Development Goals (SDGs), with chapters addressing directly SDGs 3, 9, 12, and 16 promoting healthier consumption, design and technological innovation, and responsible and inclusive markets through multisensory strategies. Key findings demonstrate that packaging sounds can shape emotions and refreshment expectation in non-alcoholic beverages, that auditory disclosure of conflict identities can affect consumer support for post-conflict producers, and that carefully designed music tracks can enhance the perceived freshness of fragrances or reinforce environmental and social sustainability narratives. Beyond behavioral evidence, this research also introduces the first transformer-based deep-learning model capable of predicting flavor associations from instrumental music, powering a flavor-driven music recommendation system. These results collectively highlight the underexplored power of sound in sustainable consumption contexts and contribute novel methodologies to multisensory and sustainability marketing research. This thesis suggests that incorporating auditory cues into the design of food and beverage experiences can increase consumer engagement, support post-conflict integration, and bridge the intention-action gap in sustainable consumption. Furthermore, it offers insights for marketers, designers, engineers, entrepreneurs, and policymakers interested in leveraging sound for experiential sustainability, proposing future applications in e-commerce, branding, hospitality, and AI-driven personalization. Finally, the implications of using sound as a tool for emotional mediation and behavioral influence are discussed, along with ethical considerations and calls for further interdisciplinary research to optimize multisensory strategies in the pursuit of the SDGs.
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2025-06-24T14:31:03Z
dc.date.available.none.fl_str_mv 2025-06-24T14:31:03Z
dc.date.issued.none.fl_str_mv 2025-06-09
dc.type.none.fl_str_mv Trabajo de grado - Doctorado
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/doctoralThesis
dc.type.version.none.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.coar.none.fl_str_mv http://purl.org/coar/resource_type/c_db06
dc.type.content.none.fl_str_mv Text
dc.type.redcol.none.fl_str_mv https://purl.org/redcol/resource_type/TD
format http://purl.org/coar/resource_type/c_db06
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/1992/76359
dc.identifier.instname.none.fl_str_mv instname:Universidad de los Andes
dc.identifier.reponame.none.fl_str_mv reponame:Repositorio Institucional Séneca
dc.identifier.repourl.none.fl_str_mv repourl:https://repositorio.uniandes.edu.co/
url https://hdl.handle.net/1992/76359
identifier_str_mv instname:Universidad de los Andes
reponame:Repositorio Institucional Séneca
repourl:https://repositorio.uniandes.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
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spelling Reyes Barrios, Luis Humbertovirtual::24323-1Reinoso Carvalho, Felipevirtual::24324-1Rodríguez Rivera, Brayan MauricioSanchez Camargo, Andrea del PilarArboleda Arango, Ana MariaCampo, RaffaeleFacultad de Ingeniería::Grupo de Diseño de Productos y Procesos2025-06-24T14:31:03Z2025-06-24T14:31:03Z2025-06-09https://hdl.handle.net/1992/76359instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/There is a growing recognition that sound plays a pivotal role in shaping consumer behavior, particularly in the context of food choices. Given that everyday food decisions significantly impact environmental and social outcomes, understanding how auditory cues can guide more sustainable consumption is both timely and necessary. This thesis explores how sound can be strategically integrated into consumer experiences to influence perceptions of sustainability and promote healthier and more responsible food consumption. The research summarized here investigates the potential of auditory cues, ranging from packaging interaction sounds to tailored music soundscapes, to serve as subtle yet effective nudges that support sustainable decision-making. I hypothesize that sound can modulate perceptual and affective perceptions through crossmodal and cognitive mechanisms, and that these influences can be predicted and enhanced using artificial intelligence (AI). Rather than focusing solely on direct taste-sound interactions, this work situates auditory cues within broader multisensory and conceptual contexts, including product sounds mitigating negative affective associations, voiceovers disclosing ethical product origins, music influencing olfactory freshness, and soundscapes designed to evoke abstract sustainability concepts. At the core of this thesis are empirical studies and machine learning models that integrate experimental psychology, consumer behavior, and music information retrieval (MIR). This transdisciplinary research applies sound-based interventions across domains linked to key Sustainable Development Goals (SDGs), with chapters addressing directly SDGs 3, 9, 12, and 16 promoting healthier consumption, design and technological innovation, and responsible and inclusive markets through multisensory strategies. Key findings demonstrate that packaging sounds can shape emotions and refreshment expectation in non-alcoholic beverages, that auditory disclosure of conflict identities can affect consumer support for post-conflict producers, and that carefully designed music tracks can enhance the perceived freshness of fragrances or reinforce environmental and social sustainability narratives. Beyond behavioral evidence, this research also introduces the first transformer-based deep-learning model capable of predicting flavor associations from instrumental music, powering a flavor-driven music recommendation system. These results collectively highlight the underexplored power of sound in sustainable consumption contexts and contribute novel methodologies to multisensory and sustainability marketing research. This thesis suggests that incorporating auditory cues into the design of food and beverage experiences can increase consumer engagement, support post-conflict integration, and bridge the intention-action gap in sustainable consumption. Furthermore, it offers insights for marketers, designers, engineers, entrepreneurs, and policymakers interested in leveraging sound for experiential sustainability, proposing future applications in e-commerce, branding, hospitality, and AI-driven personalization. Finally, the implications of using sound as a tool for emotional mediation and behavioral influence are discussed, along with ethical considerations and calls for further interdisciplinary research to optimize multisensory strategies in the pursuit of the SDGs.Doctorado395 páginasapplication/pdfengUniversidad de los AndesDoctorado en IngenieríaFacultad de IngenieríaDepartamento de QuímicaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Listening to sustainable bites: Assessing the influence of sound on sustainable food perceptions and behaviors using a data-driven approachTrabajo de grado - Doctoradoinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_db06Texthttps://purl.org/redcol/resource_type/TDSoundsFood perceptionArtificial intelligenceSustainable consumptionIngenieríaMúsicaAdministraciónPsicologíaAbdolmohamad Sagha, M., Seyyedamiri, N., Foroudi, P., & Akbari, M. 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