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Virtual Reality Interaction Design Lab (Yutaka Arakawa)
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The lab uses sensors and AI to recognize human activity and supports behavior change.
AboutAbout the lab
Humanophilic systems that stay close to people
The Arakawa Lab centers its research on human activity recognition using sensors (IoT) and machine learning (AI).
Combining real-world sensing, cloud, and networking technologies, the lab studies cyber-physical systems (CPS) that improve people's daily lives.
The targets of recognition include not only externally visible states such as movements and actions, but also internal states such as emotions and stress.
Recently, the lab has also begun to focus on behavior change support systems, which go beyond recognition and use information technology to change behavior for the better.
Key terms
- Cyber-Physical Systems (CPS)
- Systems that combine real-world sensing, cloud processing, and networking technologies to improve people's lives.
- Activity recognition
- Technology that reads sensor data to determine what a person is doing and what state they are in.
- Behavior change support system
- An information system that uses findings from psychology and behavioral economics to encourage people to choose better behaviors.
ResearchResearch themes
The lab studies human activity recognition (HAR), which understands and predicts human behavior, and support for behavior change that enhances people's well-being. Its work is wide-ranging, from developing hardware such as sensors, to data analysis, to implementing applications.
*Illustrative imageHuman Activity Recognition (HAR)
Using IoT sensors, machine learning, and edge/cloud computing, the lab builds systems that capture and analyze human behavior in real time. The scope ranges from monitoring individual activity to analyzing large-scale crowd behavior in smart cities.
*Illustrative imageDigital Well-Being and Information Health
The lab investigates how digital technologies affect people's behavior and decision-making in an increasingly automated society. By combining nudges, recommender systems, and large language models, it aims to develop technologies that create a transparent and healthy information environment without undermining users' autonomy.
*Illustrative imageBehavior Change Support Systems
Drawing on psychology, behavioral economics, and information technology, the lab designs and implements behavior change interventions tailored to each individual. The goal is to help people make healthier, happier, and more sustainable choices in their daily lives.
MembersFaculty
- ProfessorYutaka Arakawa
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: “Huawei Smartwatch (Band 4)” TheArchivistMan / CC0 (cropped)
- Human Activity Recognition (HAR): “Black Olio Brown Leather Strap Front” United States Federal Communications Commission / Public domain (cropped)
- Digital Well-Being and Information Health: “Screen time” Rawpixel / CC0 (cropped)
- Behavior Change Support Systems: “Relation between Bias, habit and convention” Charlyzona / CC BY-SA 4.0 (cropped)
- Related lab (イメージ・メディア理解研究室): “USB webcam for PC” WrS.tm.pl / CC0 (cropped)
- Related lab (サイバーフィジカル・コンピューティング研究室): “Josephson Traveling Wave Parametric Amplifier (J-TWPA) 002” OJB Quantum / CC BY 4.0 (cropped)
- Related lab (情報セキュリティー & マルチメディアセキュリティ研究室): “Firewall-X400” Cuda-mwolfe / CC BY-SA 4.0 (cropped)
- Related lab (無線通信研究室): “Wireless antenna on boat 1914-colorized” 作者不詳 / Public domain (cropped)
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