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感性AI

EstablishmentMay 25, 2018
addressTokyo/Chofu-shi/1-1-1 Kojima Town, UEC Alliance Center, Room 309
phone042-444-6761
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last updated:Mar 31, 2025
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Emotional AI Analytics Emotional AI Analytics
Emotional AI MateriaLink Emotional AI MateriaLink
Emotional AI Glossary Emotional AI Glossary
Emotional

Emotional AI MateriaLink

We will utilize emotional quantification technology to quantify and database the emotional value of materials.

Emotional AI "MateriaLink"

Support material selection and development with sensory data! Quantification of the sensory value of material texture.

"MateriaLink" is an emotional AI that utilizes a technology for quantifying emotional value based on the texture of materials, presenting it objectively and creating a database of the emotional value of materials. By exploring appropriate texture expressions and materials digitally from the emotional concept of the product, it generates emotional value innovation. An emotional experiment is conducted where participants respond with onomatopoeia to describe the tactile texture of materials. Emotional quantification is performed based on onomatopoeia quantification technology, and the results are visualized in a positioning map. [Functions] ■ Quantification of emotional value of material textures ■ Management and analysis of material database ■ Design support *For more details, please refer to the related links or feel free to contact us.

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[MateriaLink Function] Quantification of the Sensory Value of Material Texture

Quantifying sensitivity based on onomatopoeia sensitivity quantification technology and visualizing it on a positioning map!

We would like to introduce the function of our "Sensory AI MateriaLink," which is "Quantification of the Sensory Value of Material Texture." We conduct sensory experiments where participants respond with onomatopoeia to describe the tactile texture of materials. Based on our onomatopoeic sensory quantification technology, we quantify the sensory experience and visualize it on a positioning map. If you have specific requirements for the sensory experiment method (such as how to touch the material or room temperature), please feel free to consult with us. 【Steps】 1. Send the material samples to us. 2. We will conduct sensory experiments where participants respond with onomatopoeia to describe the tactile texture of the materials. 3. Using our sensory quantification technology, we will quantify the sensory experience of the tactile texture, which can be reviewed in graphs and positioning maps. *For more details, please download the PDF or feel free to contact us.

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[MateriaLink Function] Material Database Management and Analysis

Various information is digitized and organized into a database! It becomes easier to utilize and analyze data.

We would like to introduce the feature "Material Database Management and Analysis" of our "Kansei AI MateriaLink." We digitize various information, including image data for each of our materials, quantified sensory information (tactile and visual), and physical property information such as roughness, into a database. By specifying the desired sensory value, you can search for materials with similar sensory data from the registered materials, as well as compare the sensory values of multiple materials. [Features] ■ Search for materials with similar sensory data from the registered materials ■ Compare the sensory values of multiple materials ■ Search using onomatopoeic expressions of texture sensory *For more details, please download the PDF or feel free to contact us.

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MateriaLink Function: Design Support

The AI analyzes the entered ambiguous concepts, designs, and other words, texts, and images!

We would like to introduce the "Design Support" feature of our "Kansei AI MateriaLink." The AI analyzes ambiguous concepts, design-related words, texts, and images that are inputted. By translating them into various expressions, it broadens ideas and facilitates image sharing. This leads to the selection of materials that express the desired sensibility value. 【Feature Items】 ■ Text Sensibility Evaluation (Evaluation of text impressions) ■ Text Mining (Analysis of large amounts of text data) ■ Text Association (Generation of associative words from text) ■ Text to Image (Image generation from text) ■ Image Sensibility Evaluation (Evaluation of image impressions) ■ Image Association (Generation of associative words from images) *For more details, please download the PDF or feel free to contact us.

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[Image of MateriaLink Usage] Brand Owner

Check the words that the target associates from text and images! Exploring vocabulary to express images.

We would like to introduce the usage image of our "Kansei AI MateriaLink" for "brand owners." In brainstorming meetings and target hearings/surveys, we analyze free-text documents using text mining. This allows us to visually grasp frequently used words and the relationships between them. In material exploration, we quantify ambiguous images of sensibility. We collaborate with material manufacturers to explore materials that express the desired sensibility. 【Functions】 ■ Text Mining ■ Text Association ■ Image Association ■ Text Image ■ Text Sensibility Evaluation ■ Image Sensibility Evaluation *For more details, please download the PDF or feel free to contact us.

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[Image of MateriaLink Usage] Material Manufacturer

By using quantified emotional values as a measure, accurately grasp the emotional value that customers seek!

We would like to introduce the usage image of our "Sensory AI MateriaLink" for "material manufacturers." It allows for the quantification of the tactile texture of materials, enabling the development of new materials while confirming through comparison graphs and maps. This accelerates digital transformation (DX) in the research and development of new materials, allowing for high-precision research and development and marketing based on data. [Features] ■ Quantification of the sensory value of material textures ■ Database management and analysis of materials ■ Text sensory evaluation ■ Image sensory evaluation *For more details, please download the PDF or feel free to contact us.

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[Information] How much do you know? -Basics of AI-

A detailed introduction to the types and history of AI, as well as what AI can do.

This document provides a detailed explanation of the fundamentals of AI. It introduces what AI is, including the differences between AI, humans, and robots, as well as AI technologies such as machine learning and deep learning. Additionally, it includes information on what can be achieved with AI, along with challenges and initiatives, so please take a moment to read it. [Contents] ■ What is AI ■ Types of AI: Narrow AI and General AI ■ AI Technologies: Machine Learning and Deep Learning ■ History of AI ■ What can be done with AI (Examples of Affective AI) *For more details, please download the PDF or feel free to contact us.

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Product development that differentiates from competitors - A strategy for emotional value utilizing AI.

An introduction to the position of emotional value in product development, as well as the meaning of emotion and methods for acquiring emotional information.

This document discusses a value strategy utilizing AI focused on emotional appeal. It introduces the three fundamental theories of marketing regarding what it means to sell products to consumers. Additionally, it provides a detailed explanation of the brand-building blocks that visualize the steps for brands to build connections with consumers, as well as methods for quantifying and visualizing emotional information. [Contents (excerpt)] ■ What it means to sell products to consumers ■ DAGMAR theory ■ Brand-building blocks ■ What is emotion? ■ Methods for quantifying and visualizing emotional information *For more details, please download the PDF or feel free to contact us.

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Quantifying texture with AI! A new standard for material selection, 'MateriaLink'

Quantifying textures such as "soft" and "rough." Visualizing ambiguous sensory evaluations with data to enhance material comparison efficiency and reduce prototyping labor and development time.

"MateriaLink" is an emotional AI that utilizes a technology for quantifying emotional value based on the texture of materials, presenting it objectively. It quantifies and databases the emotional value of materials. By exploring appropriate texture expressions and materials digitally from the emotional concept of the product, it creates emotional value innovation. An emotional experiment is conducted where participants respond with onomatopoeia to describe the tactile texture of materials. Based on onomatopoeia emotional quantification technology, emotions are quantified and visualized on a positioning map. [Features] ■ Quantification of emotional value of material textures ■ Database management and analysis of materials ■ Design support *For more details, please refer to the related links or feel free to contact us.

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From material design to evaluation. Material development AI tool MateriaLink.

Achieving prototype reduction and improved development speed. An AI tool that supports the entire process from tactile data to material design, comparison, and evaluation based on ideal texture.

In material development, are you experiencing a situation where the evaluation of texture and feel "varies from person to person" and "cannot be understood without prototyping"? 'MateriaLink' is an AI tool that converts tactile sensations into data, supporting everything from material design, comparison, to evaluation based on the ideal texture in a seamless manner. 【Features】 ■ Quantifies tactile sensations (sensibility) with AI and accumulates them as data ■ Intuitively compares and analyzes differences between materials ■ Based on the desired texture, AI predicts and visualizes the necessary physical property balance ■ Allows sharing of "tactile sensations" as a common language across departments and companies By guiding from sensations like "fluffy" and "moist" to the direction of physical properties needed for design, AI reduces the number of prototypes, simultaneously enhancing the speed and quality of material development. < For detailed examples and implementation effects, please download the materials below >

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