感性AI List of Products and Services

The strategy of package design that is essential for attracting consumers' attention and prompting them to pick up products among the countless items lined up on the shelves of supermarkets and convenience stores. Especially in the case of beverages, packaging serves as the "face" of the product, not only shaping the brand image but also directly appealing to consumers' visual senses and emotions, significantly influencing the repeat purchase rate. Therefore, rather than relying on vague impressions, it becomes extremely important to evaluate packaging from multiple perspectives and scientifically analyze consumers' sensibilities through "packaging research." This article focuses on the package design of beverage cans and introduces effective case studies of packaging research using the AI tool "Kansei AI Analytics," which has learned from consumer survey data. *For more details, please refer to the related links. Feel free to contact us for further information.

• Other information systems

"There are multiple design proposals, but there is no objective basis for deciding which one to choose." "I cannot provide a convincing explanation to my superiors and stakeholders beyond just a vague sense of goodness." "When compiling a report on panel surveys, simply listing numbers is not satisfying." These are challenges that every marketing professional faces. In particular, there are many situations where a clear rationale for "why this proposal was chosen" is required within limited budgets and time. Whether it's package design, product naming, or catchphrases—despite conducting consumer research, it often takes a lot of time to interpret and explain the evaluation results, and even then, it is difficult to make them sufficiently persuasive. To address these challenges, we introduce the new features "AI Insights" and "AI Chat" added to "Kansei AI Analytics." *For more details on the column, please refer to the related link. For further inquiries, feel free to contact us.*

• Other information systems

When developing a marketing strategy, have you ever wondered, "What position does our product hold in the market?" or "How can we differentiate ourselves from competitors?" A powerful tool to address these challenges is the "Positioning Map." Among them, the method that conducts market analysis based on consumer recognition and perception is the "Perception Map." This article comprehensively explains the basic concepts of Positioning Maps and Perception Maps, practical ways to create them, and industry-specific case studies. Additionally, we will introduce a new approach using AI that overcomes the limitations of traditional methods. *For detailed content of the column, you can view it through the related links. For more information, please feel free to contact us.*

• Other information systems

"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.

• Business Intelligence and Data Analysis

"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.

• Business Intelligence and Data Analysis

"Emotional AI Analytics" is an image analysis AI tool that instantly analyzes and visualizes the sound of names, the impression of catchphrases, and package designs using AI trained on consumer data. Without conducting surveys such as marketing research, it enables instant testing of naming, catchphrases, and package designs. Additionally, it allows for easy text mining from your existing documents. 【Features】 ■ Impression evaluation analysis ■ Analysis by age and gender, and by product ■ Analysis results that are easy to grasp intuitively ■ Project registration function ■ Display of average values ■ CSV download of data *For more details, please refer to the related links or feel free to contact us.

• Business Intelligence and Data Analysis

"Emotional AI Analytics" is an image analysis AI tool that instantly analyzes and visualizes the sound of names, the impression of catchphrases, and package designs using AI trained on consumer data. Without conducting surveys such as marketing research, it enables instant testing of names, catchphrases, and package designs. Additionally, it allows for easy text mining from your existing documents. 【Features】 ■ Impression evaluation analysis ■ Analysis by age and gender, and by product ■ Analysis results that are easy to understand intuitively ■ Project registration function ■ Display of average values ■ CSV download of data *For more details, please refer to the related links or feel free to contact us.

• Business Intelligence and Data Analysis

This document provides detailed information on sensory information and methods for measuring sensitivity. It introduces the basics of visual, auditory, and tactile information, as well as psychological methods such as the SD method and tasks. Additionally, it explains intuitive one-word methods for measuring sensitivity, so please take a moment to read it. 【Contents】 ■ What is sensitivity ■ What is sensory information - Visual information - Auditory information - Tactile information ■ Measurement of sensory information *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

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.

• Business Intelligence and Data Analysis

This document introduces the differences between hiragana and katakana in the representation of onomatopoeia. It explains the definition and classification of onomatopoeia, as well as the rules for representation in newspapers, communications, and broadcasting. Additionally, it includes graphs to clearly illustrate the differences in imagery based on the representation of onomatopoeia. [Contents] ■ What is onomatopoeia ■ Rules for representing onomatopoeia ■ Actual representation of onomatopoeia ■ Differences in imagery based on the representation of onomatopoeia ■ Research from the Sakamoto Laboratory at the University of Electro-Communications and development by Kansei AI Inc. *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document provides a detailed introduction to brand value and emotional value in marketing. It includes information on brands that demonstrate superiority in marketing and methods for building strong brands. Additionally, it summarizes the value of brands as discussed by leading experts in brand research, so please take a moment to read it. [Contents] ■ What is a brand? ■ What is branding? ■ How to build a strong brand ■ Value of a strong brand 1 ■ Value of a strong brand 2 *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document explains the significant keywords related to exploring the impression of sounds in words, specifically focusing on onomatopoeia and sound symbolism. It includes research on Japanese onomatopoeia, the arbitrariness of language and sound symbolism, and the parts of speech of onomatopoeia. Additionally, it provides a detailed introduction to the history of the birth, disappearance, and changes of onomatopoeia, so please take a moment to read it. 【Contents (excerpt)】 ■ Onomatopoeia and sound symbolism ■ The arbitrariness of language and sound symbolism ■ Research on Japanese onomatopoeia ■ Parts of speech of onomatopoeia ■ The modality and polysemy of the five senses expressed by onomatopoeia *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document introduces a course on the principles of naming, conducted by the COO of Kansei AI Inc. and the Vice President of the University of Electro-Communications. It provides detailed explanations on tips for creating hit product names, as well as the effects of naming for different product categories. Additionally, it summarizes an AI system that evaluates the impression of product names. [Contents] ■ Tips for creating hit product names ■ The connection between the sound of names and their impressions ■ The effects of naming for different product categories ■ AI that evaluates naming *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

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.

• Business Intelligence and Data Analysis

We would like to introduce the feature "Associative Word Brainstorm" of the image analysis AI tool "Kansei AI Analytics" for exploring consumer needs. By entering a keyword, a large number of words associated with that keyword are displayed. You can expand associative words based on popular snacks to consider the next hit product, or explore new flavors, allowing for various leaps in creativity. 【Features】 ■ By entering a keyword, a large number of words associated with that keyword are displayed. ■ You can expand associative words based on popular snacks to consider the next hit product or explore new flavors, enabling various leaps in creativity. *For more details, please refer to the related links or feel free to contact us.

• Business Intelligence and Data Analysis

We would like to introduce the feature "Package Analytics" in the development of the image analysis AI tool "Kansei AI Analytics." It instantly visualizes the impressions consumers have of packaging. Since it can quantify the impressions of packaging proposals without conducting surveys, the time for package development is significantly reduced. This solves the problem of "not having enough time to reach a package that realizes the concept." 【Features】 ■ Instantly visualizes the impressions consumers have of packaging ■ Since it can quantify the impressions of packaging proposals without conducting surveys, the time for package development is significantly reduced *For more details, please refer to the related links or feel free to contact us.

• Business Intelligence and Data Analysis

We would like to introduce the feature "Catchphrase/Package Analytics" in the AI tool "Kansei AI Analytics" for testing catchphrases and banners. Visualize the effectiveness of catchphrases and banners instantly. Even catchphrases and banners that are usually not subjected to research can be determined based on quantitative data using this tool. This can solve the problem of having few opportunities for user testing of catchphrases and banners. 【Features】 ■ Instantly visualize the effectiveness of catchphrases and banners ■ Even catchphrases and banners that are usually not researched can be determined based on quantitative data using this tool *For more details, please refer to the related links or feel free to contact us.

• Business Intelligence and Data Analysis

We would like to introduce a case study on the implementation of the image analysis AI tool "Kansei AI Analytics" at a daily goods manufacturer. The manufacturer wanted to conduct market research for naming a new fabric softener product using a new fragrance technology, but due to cost-cutting measures, the number of research instances was limited, resulting in a long wait for results and concerns about meeting deadlines. After implementation, the phonetic impressions felt by consumers were instantly visualized on-site. Since there was no need to wait for research results, the team could efficiently refine naming proposals without feeling rushed, all while reducing costs. [Case Overview] ■ Before Implementation - It was a project where failure was not an option, but research costs were being cut, and there was little time before the deadline. ■ After Implementation - It became easier to compare using a position map. - The impressions of each naming proposal could be visualized, making it easier to create internal documents. *For more details, please refer to the related links or feel free to contact us.

• Business Intelligence and Data Analysis

We would like to introduce a case study on the implementation of the image analysis AI tool "Kansei AI Analytics" at a confectionery manufacturer. At this manufacturer, the criteria for selecting packaging had become based on intuition, and they were struggling with how to choose designs that effectively conveyed their concept due to a lack of research funding. After implementation, they were able to visualize color impressions in graphs simply by uploading images. It became possible to select packaging with emotional value that they wanted to convey to consumers based on solid evidence from multiple ideas. [Case Overview] ■ Before Implementation - They were always selecting packaging ideas based on intuition, but they wanted to demonstrate internally that they could make selections based on evidence that would contribute to sales. ■ After Implementation - By using visually clear selection criteria, the level of agreement within the company increased, and they were able to showcase the presence of their department. *For more details, please refer to the related links or feel free to contact us.

• Business Intelligence and Data Analysis

We would like to introduce a case study on the implementation of the image analysis AI tool "Kansei AI Analytics" at an advertising agency. As an advertising agency, we have been delivering catchphrase proposals for hand soap to clients, but since these proposals were created based on years of intuition and insights, it was difficult to provide evidence for them, making it challenging to gain client approval. After the implementation, the emotional impressions felt by consumers can be instantly visualized in graph form on the spot. Since evaluations can be conducted repeatedly, we are now able to assess all catchphrases from the stage of brainstorming ideas for delivery. [Case Overview] ■ Before Implementation - While we could understand the tendencies preferred by the persona from past data, we could not provide evidence for why this catchphrase resonates, as it was based on long-standing intuition. ■ After Implementation - By being able to provide evidence for intuitive insights, the delivery process has become smoother, and the number of requests has increased. *For more details, please refer to the related links or feel free to contact us.

• Business Intelligence and Data Analysis

Sensibility is something that arises from perceiving external stimuli through the sensory receptors of the five senses. In our daily lives, we experience various aspects of the physical world through our senses by seeing, touching, and tasting. The information that enters through these sensory receptors is integrated in the brain with the information that the person has experienced up to that point, leading to value judgments. In this way, sensibility is what arises from feeling the external world. *For detailed content of the glossary, please refer to the related links. For more information, feel free to contact us.*

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There are three types of methods for measuring how people process sensory information: psychological methods, psychophysical methods, and biological methods. <Psychological Methods> This involves asking questions using language and examining the responses. A representative method is the Semantic Differential (SD) method. <Psychophysical Methods> This involves measurement through behavioral observation. It clarifies the relationship between the physical quantities of stimuli inputted and the results of sensory information processing as the output response. <Biological Methods> This measures changes in the brain and body that occur in response to mental states. *For detailed content of the glossary, please refer to the related links. For more information, feel free to contact us.

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The sense of touch receives information through several types of receptors, including those that respond to pressure, those that respond to lateral skin displacement, those that respond to low-frequency vibrations ranging from a few hertz to several tens of hertz, and those that respond to high-frequency vibrations above 100 hertz. The basic information obtained from the sense of touch includes five aspects: the sensation of unevenness, roughness, friction, hardness or softness, and temperature. *For detailed content of the glossary, please refer to the related links. For more information, feel free to contact us.*

• others

Kansei quality refers to the quality that customers evaluate based on their sensory experiences and emotions when interacting with a product or service. In other words, it is a concept of quality evaluation that focuses on the impressions and feelings derived from assessing what a product or service offers through the five senses. By appropriately evaluating this kansei quality and improving it further, we can create products and services that lead to high customer satisfaction. *Other terminology can be viewed through the related links. For more details, please feel free to contact us.

• others

The strong connection between the phonemes that make up onomatopoeia and the sensory images that the words represent. For example, research conducted primarily by professors at Oxford University suggests that the two meaningless words "Ruki" and "Lula" are associated with "Ruki" having a salty image and "Lula" having a sweet image. *For detailed content of the glossary, please refer to the related links. For more information, feel free to contact us.

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The three attributes of color are "Hue," "Saturation," and "Brightness." These attributes are fundamental elements that characterize color, each representing different aspects. Hue refers to the differences in color tones, such as "blue," "red," "yellow," and "green." Saturation indicates the vividness of a color. Brightness shows the lightness or darkness of a color. *For detailed information on the glossary, please refer to the related links. Feel free to contact us for more information.*

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Emotional value refers to a type of value that transcends traditional values such as high functionality, high reliability, and reasonable pricing, appealing to consumers' sensibilities and evoking their emotions and empathy. Through a series of brand studies conducted by various scholars, it has been found that product value broadly consists of both functional value and emotional value. As technological innovation leads to commoditization, it has become increasingly difficult to differentiate products based solely on functional values such as functionality, quality, and price. *For detailed content of the glossary, please refer to the related links. For more information, feel free to contact us.*

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Sensory evaluation is a method that uses the five senses of humans (sight, hearing, smell, taste, touch) to measure the characteristics of objects and the sensations themselves, and to analyze them statistically. This allows for the breakdown of evaluation elements and investigates how people use their respective senses to assess things, followed by an analysis of the results. Sensory evaluation is widely used in fields such as food science and helps to understand sensory phenomena that cannot be explained physically or chemically. *For detailed content of the glossary, please refer to the related links. For more information, feel free to contact us.*

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When receiving information through hearing, it is generally referred to as "sound." Sound is perceived by the sensory organs through the cochlea in the inner ear, which separates sound waves into various frequencies. A thin basilar membrane exists within the cochlea, corresponding to different frequencies, and hair cells detect vibrations by touching this membrane and convert them into nerve signals. *Other terminology can be viewed through the related links. For more details, please feel free to contact us.

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Onomatopoeia refers to words that imitate sounds from the external world, such as expressing the sound of a campfire burning as "pachipachi" and the chirping of a sparrow as "chunchun." It encompasses both onomatopoeic words, which mimic sounds like animal calls or human screams, and mimetic words, which symbolically represent the state of things through sound, such as "kirakira" for "sparkling" and "fuwafuwa" for "fluffy." The classification of onomatopoeic and mimetic words varies among researchers and literature, but it is defined as above in sensory AI. *For more detailed information, please refer to the related links in the glossary. Feel free to contact us for further inquiries.*

• others

A mora refers to a "beat," and for example, in the onomatopoeia "fuwa," "fu" corresponds to the first mora and "wa" corresponds to the second mora. Japanese onomatopoeia may appear diverse, but its basic forms can be categorized into those with one mora or two morae. While onomatopoeia typically has a basic form of one or two morae, it is rare for them to be composed solely of one or two morae; it is common for additional elements, known as onomatopoeic markers, such as gemination and nasal sounds, to be included. *For detailed content of the glossary, please refer to the related links. For more information, feel free to contact us.

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The target represented by "phoneme" varies depending on the field, person, or context in which the word is used. In sensory AI, the term "phoneme" primarily refers to "mora." A mora is a "temporal unit based on length." *For detailed content of the glossary, please refer to the related links. For more information, feel free to contact us.*

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Sensory information refers to the subjective information that each individual feels in response to stimuli from the external world. Even if the stimuli are the same, the meanings attributed to them can differ based on individual experiences and knowledge. For example, when listening to the same music, one person may feel "it's beautiful," while another may feel "it's fun," experiencing something entirely different. In this way, the subjective information that individuals feel in response to a particular stimulus is what we call sensory information. *For detailed content of the glossary, please refer to the related links. For more information, feel free to contact us.*

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Kansei evaluation is a method for measuring and assessing the sensitivity that arises from perceiving objects or environments, which are stimuli from the external world, through the sensory receptors of the five senses, and capturing it in numerical form. The results of measuring and evaluating sensitivity are utilized in product and service development as well as academic research. In particular, Japanese people can understand and evaluate high-quality products, so kansei evaluation is useful for controlling the value of sensitivity down to the finest details. *Other terminology can be viewed through the related links. For more details, please feel free to contact us.

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Brainwaves are electrical signals generated by the activity of the brain, occurring when nerve cells respond to stimuli and transmit electrical signals to each other. Brainwaves are categorized into several types based on frequency, with the main ones being beta waves (13-30 Hz), alpha waves (8-13 Hz), theta waves (4-8 Hz), and delta waves (1-4 Hz). Beta waves occur when thoughts are active while awake, alpha waves appear when relaxed, theta waves are present during drowsiness and light sleep, and delta waves occur during deep sleep. *Other terminology can be viewed through the related links. For more details, please feel free to contact us.*

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Onomatopoeia refers to words that imitate sounds from the external world, such as expressing the sound of a campfire burning as "pachipachi" or the chirping of a sparrow as "chunchun." In particular, words that imitate animal sounds or human cries are also called mimetic words. The term "onomatopoeia" encompasses both onomatopoeic words and mimetic words. The classification of onomatopoeic and mimetic words varies among researchers and literature, but in our sensory AI, we define them as described above. *Other terminology can be viewed through the related links. For more details, please feel free to contact us.*

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Kansei engineering is a technology that quantifies customer emotional images and develops products based on that. Kansei engineering originated in Japan and is considered a field that has spread and developed in Asia and Western countries. *Other terminology can be viewed through the related links. For more details, please feel free to contact us.

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Sizzle refers to the expression of freshness that stimulates appetite and purchasing desire in advertising contexts for food and dishes, as well as the use of sensory-stimulating expressions. For example, it refers to expressing the liveliness of grilled meat as "sizzling" or the softness of pancakes as "fluffy." *Other terminology can be viewed through the related links. For more details, please feel free to contact us.*

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Among the information obtained from vision, there are basic features such as shape, brightness, color, and depth, but I will explain other perceptual information. (1) Reflective properties (2) Histogram statistics (3) Translucency (4) Viscosity of liquids *For detailed content of the glossary, you can view it from the related links. Please feel free to contact us for more information.

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Event-related potentials are voltage fluctuations that occur in relation to a specific event. For example, they are voltage changes associated with brain activity when focusing attention, recognizing something, or recalling memories. *Other terminology can be viewed via related links. For more details, please feel free to contact us.*

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Words like "kirakira" in "looks sparkling" and "fuwafuwa" in "fluffy texture" symbolically express the state of things through sound. The term that collectively refers to mimetic words and onomatopoeic words is "onomatopoeia." The classification of onomatopoeic and mimetic words varies among researchers and literature, but in Sensory AI, it is defined as above. *For detailed content of the glossary, please refer to the related links. For more information, feel free to contact us.*

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Color perception emotions refer to the feelings that arise from the perception of colors, such as feeling "pure" when seeing "white" or feeling "passionate" when seeing "red." While there are individual differences, there are common tendencies that can be summarized as follows: <Warm and Cool Colors> Red hues are perceived as warm, while blue hues are perceived as cool and refreshing. The former is called warm colors, and the latter is called cool colors. <Advancing and Receding Colors> Even if two colors are at the same distance, red hues are felt to be closer, while blue hues are felt to be farther away. The former is called advancing colors, and the latter is called receding colors. *For detailed information on the glossary, please refer to the related links. For more information, feel free to contact us.

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Statistical analysis is a systematic methodology for examining the properties of a certain amount of data and inferring the characteristics of a larger dataset (population) from a subset of data (sample). Examples of statistical analysis include principal component analysis, factor analysis, and cluster analysis. *For detailed content of the glossary, please refer to the related links. Feel free to contact us for more information.*

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• Statistical analysis

The SD method, short for Semantic Differential method, is a technique used to measure impressions of a subject being evaluated. It is also possible to measure the emotional impressions of products and services. The SD method was devised by psychologists in 1957, placing adjectives with antonyms at both ends of a questionnaire and obtaining numerical data by having subjects evaluate them on a 5-point or 7-point scale. *For detailed content of the glossary, please refer to the related links. For more information, feel free to contact us.*

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Principal component analysis is one of the statistical analysis methods. It is a technique that explains the correlation relationships of data with many variables using a smaller number of variables (principal components). By synthesizing or compressing data with many variables into a few principal components while minimizing information loss, one can succinctly understand the overall picture of the data. *For detailed content of the glossary, please refer to the related links. For more information, feel free to contact us.

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• Statistical analysis