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  6. [Case Study of Utilizing Affective AI Analytics] Language Description of Images and Persona Setting

[Case Study of Utilizing Affective AI Analytics] Language Description of Images and Persona Setting

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last updated:Apr 21, 2025

感性AI
感性AI
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Efficiently verbalizing images and materializing persona settings! A case study on accelerating the construction of worldviews and concepts.

We would like to introduce a case study utilizing "Sensory AI Analytics" in the design of automobiles at automotive company B. By analyzing freely written documents from brainstorming meetings, target hearings, and surveys, we visually grasped frequently used words and the relationships between them. Additionally, we confirmed the words that the target associates through text and images in the expression of the worldview and the creation of mood boards, exploring vocabulary to express the image. 【Case Overview】 ■ Subject: Automobile design ■ Challenge: Verbalizing images and sourcing materials for persona setting ■ Effect: Accelerating the construction of worldview and concepts *For more details, please download the PDF or feel free to contact us.

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[Case Study of Utilizing Affective AI Analytics] Language Description of Images and Persona Setting

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  • Related Link - https://www.kansei-ai.com/marketingsolution-analyt…
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Kansei AI Co., Ltd. Company Introduction

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Image Analysis AI Tool "Kansei AI Analytics"

Image Analysis AI Tool "Kansei AI Analytics"

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【Release of New Features in Sensory AI Analytics】Started offering "Custom Sensory Scales" that allow users to analyze design impressions based on their unique evaluation criteria.

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The web service "Kansei AI Analytics," which analyzes and visualizes the impressions of images and texts using AI trained on consumer data, allows for the evaluation of package design, naming, and catchphrases based on various adjectives from a marketing research perspective. As a new feature, we have released the "Custom Kansei Scale," which enables users to create their own unique impression evaluation scales and analyze the impressions of images based on them. This feature was developed in response to numerous requests from our customers, such as "I want to evaluate using industry-specific terms" and "I want to measure whether it aligns with the image our brand aims for." By quantifying evaluation axes specific to industries and brands, such as "looks delicious" and "brand identity," we can identify differentiation points from competitors and delve deeper into consumer insights, contributing to more strategic creative design.

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感性AI

感性AI

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Our company was established on May 25, 2018, through joint investment by Keio Corporation and Professor Maki Sakamoto of the National University Corporation, University of Electro-Communications. We are a company that can commercially utilize the intellectual property from the Sakamoto Laboratory at the University of Electro-Communications, which has been certified as a venture originating from the university. By creating AI that understands the hidden senses within people and supports their expression, we aim to become a platform for the utilization of sensitivity.

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