Marketing sonified fragrance: Designing soundscapes for scent

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Charles Spence, Nicola Di Stefano, Felipe Reinoso-Carvalho, Carlos Velasco
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引用次数: 0

Abstract

Auditory branding is undoubtedly becoming more important across a range of sectors. One area, in particular, that has recently seen significant growth concerns the introduction of music and soundscapes that have been specifically designed to match a particular scent (what one might think of as “audio scents” or “sonic scents”). This represents an exciting new approach to the sensory marketing of fragrance and for industries with strategic sensory goals, such as cosmetics. Crucially, techniques such as the semantic differential technique, as well as the emerging literature on crossmodal correspondences, offer both a mechanistic understanding of, and a practical framework for, those wishing to rigorously align the connotative meaning and conceptual/emotional/sensory associations of sound and scent. These developments have enabled those working in the creative industries to start moving beyond previously popular approaches to matching, or translating between the senses, that were traditionally often based on the idiosyncratic phenomenon of synaesthesia, toward a more scientific approach while nevertheless still enabling/requiring a healthy dose of artistic inspiration. In this narrative historical review, we highlight the various approaches to the systematic matching of sound with scent and review the various marketing activations that have appeared in this space recently.
营销声波香氛:为香味设计声音景观
听觉品牌无疑在各行各业都变得越来越重要。尤其是最近出现显著增长的一个领域,是引入专门设计的与特定香味相匹配的音乐和音效(人们可能会认为是 "音频香味 "或 "声波香味")。这为香水的感官营销以及化妆品等具有战略性感官目标的行业提供了一种令人兴奋的新方法。最重要的是,语义差分法等技术以及新兴的跨模态对应文献,为那些希望严格调整声音和气味的内涵意义和概念/情感/感官关联的人提供了一种机制理解和实用框架。这些发展使创意产业的从业人员开始超越以往流行的感官匹配或转换方法(传统上通常基于特异的共感现象),转而采用更加科学的方法,同时仍然能够/需要健康的艺术灵感。在这篇叙述性历史回顾中,我们重点介绍了系统匹配声音与气味的各种方法,并回顾了最近在这一领域出现的各种营销活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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