Unsupervised Learning Enables Extraction of Tactile Information From Text Database
Unsupervised Learning Enables Extraction of Tactile Information From Text Database
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DOI：
10.1109/access.2021.3130277
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发表时间：
2023-01-01
期刊：
影响因子：
3.9
通讯作者：
Miki, Norihisa
中科院分区：
文献类型：
--
作者：
Nagatomo, Tatsuho;Hiraki, Takefumi;Miki, Norihisa
在这项工作中，我们提出了一种新的方法，触觉研究使用自然语言处理的档案词语料库作为数据库。触觉感知或对表面的评估被认为是一种语言。因此，通过从文本语料库中提取与触摸相关的单词和句子并学习它们的关系，我们最终可以了解人类如何感知表面。我们选取了日语中的6个形容词和42个拟声词作为我们的触觉词汇。形容词表示粗糙度和硬度等物理性质，而拟声词，如“zara-zara”和“tsuru-tsuru”，在日语中被广泛用于描述表面，可以对应物理纹理认知和情感认知。首先，使用自然语言处理的语料库，我们成功地映射了象声词相对于6个形容词，这与基于查询的调查结果相匹配。这验证了自然语言处理用于触觉研究的有效性。此外，主成分分析揭示了新的触觉尺寸的基础上象声词，我们大概asseseffective触觉尺寸。所提出的方法使用自然语言处理的档案文本数据库可以提供大量的数据集的触觉研究，并最终在新的发现和见解。
In this work, we propose a new approach to tactile research using natural language processing of archival word corpus as the database. Tactile perception, or assessment of surfaces, is recognized as a language. Thus, by extracting touch-related words and sentences from a text corpus and learning their relationships, we can ultimately learn how humans perceive surfaces. We selected 6 adjectives and 42 onomatopoeias in Japanese as our tactile words. The adjectives represent physical properties, such as roughness and hardness, while onomatopoeias, such as "zara-zara" and "tsuru-tsuru," are widely used to describe surfaces in Japanese and can correspond to both physical texture cognition and affective cognition. First, using natural language processing of word corpora, we successfully mapped the onomatopoeias with respect to the 6 adjectives, which matched well with the results based on an enquete-based survey. This verified the effectiveness of natural language processing for tactile research. In addition, principal component analysis revealed new tactile dimensions based on onomatopoeias, which we presumably assessaffective tactile dimensions. The proposed approach using natural language processing of archival text databases can provide a large number of datasets for tactile research and culminate in new findings and insights.