Sakamoto Maki, Watanabe Junji
Department of Informatics, The University of Electro-Communications, Tokyo, Japan and
NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Kanagawa, Japan.
Chem Senses. 2016 Mar;41(3):197-203. doi: 10.1093/chemse/bjv078. Epub 2015 Dec 28.
Many languages have a word class whose speech sounds are linked to sensory experiences. Several recent studies have demonstrated cross-modal associations (or correspondences) between sounds and gustatory sensations by asking participants to match predefined sound-symbolic words (e.g., "maluma/takete") with the taste/texture of foods. Here, we further explore cross-modal associations using the spontaneous production of words and semantic ratings of sensations. In the experiment, after drinking liquids, participants were asked to express their taste/texture using Japanese sound-symbolic words, and at the same time, to evaluate it in terms of criteria expressed by adjectives. Because the Japanese language has a large vocabulary of sound-symbolic words, and Japanese people frequently use them to describe taste/texture, analyzing a variety of Japanese sound-symbolic words spontaneously produced to express taste/textures might enable us to explore the mechanism of taste/texture categorization. A hierarchical cluster analysis based on the relationship between linguistic sounds and taste/texture evaluations revealed the structure of sensation categories. The results indicate that an emotional evaluation like pleasant/unpleasant is the primary cluster in gustation.
许多语言都有一类词,其语音与感官体验相关联。最近的几项研究通过要求参与者将预定义的声音象征词(如“maluma/takete”)与食物的味道/质地相匹配,证明了声音与味觉感受之间的跨模态关联(或对应关系)。在此,我们通过单词的自发产生和感觉的语义评级进一步探索跨模态关联。在实验中,参与者饮用液体后,被要求用日语声音象征词表达他们的味道/质地,同时,根据形容词表达的标准对其进行评价。由于日语有大量的声音象征词词汇,而且日本人经常用它们来描述味道/质地,分析自发产生的各种用于表达味道/质地的日语声音象征词可能使我们能够探索味道/质地分类的机制。基于语言声音与味道/质地评价之间关系的层次聚类分析揭示了感觉类别的结构。结果表明,愉快/不愉快这样的情感评价是味觉中的主要聚类。