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Shibata Lab
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The lab explores how people and AI relate, from the perspective of Kansei informatics.
AboutAbout the lab
Adding "feelings" to science and technology.
The Shibata Lab incorporates the perspectives of Kansei informatics and cognitive science into research on AI and design, aiming to realize a psychologically rich, bright, and enjoyable society.
Its work is wide-ranging, from research that uses psychological experiments to examine how people feel about AI, to developing new systems using game AI that cooperates with people, VR, and robots.
Working across the three fields of Kansei informatics, artificial intelligence, and design, the lab aims to create AI, robots, and systems that fit into daily life and support people.
The lab was only established in 2026.
Key terms
- Kansei informatics
- An interdisciplinary research field that clarifies human sensibility, emotion, and impressions. It often uses methods from information science and measurement science.
- Sensory modality
- Individual perception obtained through each sense organ, such as appearance, voice, and touch. Combining several of them is called multimodal Kansei.
NewsLab news
View More ↗ResearchResearch themes
To explore a future in which people live together with AI and robots, the lab studies both sides: understanding people, and creating new AI and technologies. Its work ranges from psychological experiments investigating how people feel about AI to developing systems that use AI, VR, and robots.
*Illustrative imageElucidating and Mutually Converting Impressions
People perceive objects through appearance, movement, voice, touch, and more. Using "impression" as a keyword, the lab studies sensory modalities and impressions, and how to convert between them.
*Illustrative imageHuman-AI Collaboration
The effects of AI on human cognition and behavior are still unclear, and the appropriate distance and relationship between people and AI have not been settled. With the aim of building relationships between people and AI, the lab conducts research that includes constructing the environments for it.
*Illustrative imageAI in Daily Life (Life with AI)
Using familiar AI as subject matter, the lab works on AI that assists people's lives and on analyzing AI from a psychological perspective. One example is investigating how the attributes of an AI affect trust.
*Illustrative imageData Science and Other Research
The lab also conducts research in data science, physiological information processing, and the fundamentals of artificial intelligence. Examples include recommender systems, the use of ICT in medical settings, and writer verification from handwritten characters.
MembersFaculty
The Shibata Lab's members are faculty and undergraduate students.As of 2026
- Associate ProfessorAtsushi Shibata
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Robots and Kids” Draganzivancevic / CC BY-SA 4.0 (cropped)
- Elucidating and Mutually Converting Impressions: “Monet - Impression, Sunrise” Claude Monet / Public domain (cropped)
- Human-AI Collaboration: “Human+Robot” Cadop / CC0 (cropped)
- AI in Daily Life (Life with AI): “Smart Speaker Google Home, Recover Reputation” Recover-reputation-online-management / CC BY-SA 4.0 (cropped)
- Data Science and Other Research: “Handwriting at Starbucks” Marcin Wichary / CC BY 2.0 (cropped)
- Related lab (赤池 英夫 研究室): “CSIRO ScienceImage 7664 The wearable bodymapping sleeve” Nick Pitsas, CSIRO / CC BY 3.0 (cropped)
- Related lab (小泉 直也 研究室): “Stylised flower as light installation in public park Rudaki, Dushanbe, Tajikistan” Stesso / CC0 (cropped)
- Related lab (松野 省吾 研究室): “Crowd of people with phones” Rawpixel Ltd / CC BY 2.0 (cropped)
- Related lab (宮本 友樹 研究室): “ELIZA conversation” 作者不詳 / Public domain (cropped)
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