感性AIアナリティクス

感性AIアナリティクス
消費者の感性を学習したAIによってプロダクトの感性価値分析をサポートします。
1~22 件を表示 / 全 22 件
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Image Analysis AI Tool "Kansei AI Analytics"
Analyze naming, catchphrases, and packaging from the perspectives of phonetics, images, and text!
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[Case Study of Implementing Emotional AI Analytics] Confectionery Manufacturer
Examples of justifying design selection when outsourcing to a designer!
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[Case Study of Implementing Sensory AI Analytics] Daily Necessities Manufacturer
Examples of replacing research and analysis conducted by research companies or in-house.
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[Case Study of Implementing Emotional AI Analytics] Advertising Agency
Examples of cases when submitting as supporting materials for proposals to clients!
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Emotional AI Analytics Application "Catchphrase and Banner Test"
Solving the problem of having few opportunities for user testing of catchphrases and banners!
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Emotional AI Analytics Application "Package Development"
Solving the problem of not having enough time to reach a package that realizes the concept!
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Emotional AI Analytics Application: "Exploration of Consumer Needs"
When you are in charge of multiple products, we solve the problem of not being able to come up with ideas easily!
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[Case Study of Utilizing Emotional AI Analytics] "Keio Corporation" Introduction of New Train Models
Examples of using "text mining" for survey analysis and word extraction!
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[Case Study on the Use of Emotional AI Analytics] Selection of Packages that Fit the Concept
An example of being able to use visually clear selection criteria!
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[Case Study of Utilizing Emotional AI Analytics] Efficient Advertising/Product Design
A case that can be analyzed as having the impression leading to attention and purchases is "youthfulness" and "vitality"!
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[Case Study of Utilizing Affective AI Analytics] Language Description of Images and Persona Setting
Efficiently verbalizing images and materializing persona settings! A case study on accelerating the construction of worldviews and concepts.
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[Data] Measurement Methods for Affective Information and Emotion
A detailed introduction to phonetic diagnosis, physical stimuli, and sensitivity, along with diagrams.
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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.
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[Data] Differences in Onomatopoeia Representation - Hiragana and Katakana
Introducing research conducted at the Sakamoto Laboratory of the University of Electro-Communications, which developed a system to analyze impressions of onomatopoeia!
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[Research] Exploring the Impressions of Sounds in Words - Onomatopoeia and Sound Symbolism -
Introduction to the modality expressed by onomatopoeia and the polysemy of the five senses.
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[Material] Course on the Principles of Naming Impressions
How does naming influence consumers? Here are some helpful tips.
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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.
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[Data] Brand Value and Emotional Value in Marketing
Brands exist across a wide range of products and services! They demonstrate a competitive advantage in marketing.
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Analyzing consumer psychology with AI! AI support tools for naming and packaging.
AI instantly quantifies consumer sensitivity. It scientifically supports product development and promotions while reducing research costs. It also plays a role in selecting effective expressions and justifying proposals.
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What is a positioning map? A complete explanation from how to determine the axes to industry examples.
Introduction of basic concepts, marketing challenges to be solved, and case studies!
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AI that supports package research and the establishment of naming rationale.
Instantly generate 'convincing selection criteria'! Supporting the foundation of consumer research with AI insights.
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Case study of AI utilization in package research: Public disclosure of the design process for beverage cans.
Introducing deep dives into concepts, market research, package testing, and the extraction of improvement measures!
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