Grupo de Diseño de Productos y Procesos, Department of Chemical and Food Engineering, 27991Universidad de los Andes, Bogotá DC 111711, Colombia.
School of Management, 27991Universidad de los Andes, Bogotá DC 111711, Colombia.
Multisens Res. 2023 Sep 21;36(8):725-825. doi: 10.1163/22134808-bja10107.
This is the first systematic review that focuses on the influence of product-intrinsic and extrinsic sounds on the chemical senses involving both food and aroma stimuli. This review has a particular focus on all methodological details (stimuli, experimental design, dependent variables, and data analysis techniques) of 95 experiments, published in 83 publications from 2012 to 2023. 329 distinct crossmodal auditory-chemosensory associations were uncovered across this analysis. What is more, instead of relying solely on static figures and tables, we created a first-of-its-kind comprehensive Power BI dashboard (interactive data visualization tool by Microsoft) on methodologies and significant findings, incorporating various filters and visualizations allowing readers to explore statistics for specific subsets of experiments. We believe that this review can be helpful for researchers and practitioners working in the food and beverage industry and beyond these scopes (e.g., cosmetics). Theoretical and practical implications discussed in this article point to computational approaches that facilitate decision-making regarding multisensory experimental methodology design.
这是第一篇系统综述,重点关注产品内在和外在声音对涉及食物和香气刺激的化学感觉的影响。本综述特别关注 2012 年至 2023 年 83 篇出版物中 95 项实验的所有方法细节(刺激物、实验设计、因变量和数据分析技术)。通过这项分析,共发现了 329 种不同的跨模态听觉-化学感觉关联。更重要的是,我们创建了第一个同类综合 Power BI 仪表板(由微软提供的交互式数据可视化工具),用于方法和重要发现,其中包含各种过滤器和可视化效果,允许读者探索特定实验子集的统计信息。我们相信,这篇综述对从事食品和饮料行业以及其他领域(例如化妆品)的研究人员和从业者会有所帮助。本文讨论的理论和实践意义指向促进关于多感觉实验方法设计的决策的计算方法。