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Humanophilic Systems Lab
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The lab captures human behavior with sensors and AI and studies ways to support behavior change.
AboutAbout the lab
Building information systems that stay close to people.
The Humanophilic Systems Lab studies cyber-physical systems that stay close to people.
Its core is human activity recognition using sensors (IoT) and machine learning (AI), and its work ranges widely from developing new sensors to implementing applications.
One of its themes is recognizing not only outwardly visible states such as behavior and activities, but also inner states such as emotions and stress.
Recently, as research that goes beyond activity recognition, the lab has been advancing behavior change support systems that use information technology to change people's behavior for the better.
Key terms
- Cyber-physical system
- A system that combines sensing of the real world, data processing in the cloud, and networks to improve people's lives
- Human activity recognition
- Technology that estimates what a person is doing from data such as sensor data
- Behavior change support system
- A system that combines psychology, behavioral economics, and information technology to design interventions that change each individual's behavior
ResearchResearch themes
The lab works on activity recognition, which understands and predicts human behavior, and on behavior change support systems, which enhance people's well-being. Its targets range from individual behavior to the dynamics of cities, and its work spans from developing hardware such as wearable sensors and IoT devices to analyzing web and Slack logs.
*Illustrative imageActivity Recognition: Capturing Human Behavior
Using IoT sensors, machine learning, and computing on the edge and in the cloud, the lab builds systems that capture and analyze human behavior in real time. Its work covers everything from records of individual activity to analysis of the movement of large numbers of people in smart cities.
*Illustrative imageDigital Well-being and Information Health
The lab studies how digital technology affects people's behavior and decision-making. It combines behavioral economics nudges, recommendation algorithms, and large language models to design technology that supports user autonomy.
*Illustrative imageBehavior Change Support Systems
Combining knowledge from psychology, behavioral economics, and information technology, the lab designs and implements behavior change interventions tailored to each individual. It aims 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: “Iot, Internet of Things Colorful Typography 01” Chiplanay / CC BY-SA 4.0 (cropped)
- Activity Recognition: Capturing Human Behavior: “The Photographer” Joaquim Alves Gaspar / CC BY 2.5 (cropped)
- Digital Well-being and Information Health: “Boysmartphone” Andi Graf / CC0 (cropped)
- Behavior Change Support Systems: “Commuting by bicycle” Petar Milošević / CC BY-SA 4.0 (cropped)
- Related lab (Hacking Reality Lab): “InclusiveGameLab Person-Playing-Virtual-Reality 12 CC-BY-SA” InclusiveGameLab / CC BY-SA 4.0 (cropped)
- Related lab (Intelligent Information Environment Lab): “Big Data ( )” Learntek / CC0 (cropped)
- Related lab (Behavior Informatics Lab): “The scope of embodied cognition fr” John J. Madrid / CC BY 4.0 (cropped)
- Related lab (Intelligent Software Engineering Lab): “Programmers” Lbronn / CC BY-SA 4.0 (cropped)
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