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Cognitive Support Systems Lab (LaCSIS)
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The lab studies ICT support technologies that work in harmony with human cognition.
AboutAbout the lab
A safe and comfortable smart life, through ICT support technology based on cognitive characteristics
The Cognitive Support Systems Lab uses digital technology and IoT to study support technologies that fit the way people think and perceive.
The lab investigates how people understand information, make decisions, and act in complex situations, and applies the findings to the design of interfaces and support systems.
Its subjects include pedestrian navigation, learning support for understanding the functions of ICT devices, and the use of mobile devices in education.
The overarching goal is "developing ways to use mobile and ICT devices to realize a smart life."
Key terms
- Mental model
- The appropriate knowledge a user has about the functions and mechanisms of a device. The lab studies learning methods that support the acquisition of this knowledge.
- Blended learning
- A learning environment that integrates a variety of learning methods according to the situation.
- Personalized guidance
- Navigation tailored to each user, which estimates an individual's preferences and emotions and uses them in route search.
NewsLab news
View More ↗ResearchResearch themes
Building on cognitive systems engineering, human factors, and resilience engineering, the lab analyzes the interaction between humans and systems. Using mobile and ICT devices that have become part of everyday life, it develops technologies that address social issues, aiming to contribute to the SDGs, and evaluates their impact.
*Illustrative imageNext-generation pedestrian navigation
Using cognitive characteristic models and real-world monitoring, the lab aims to realize personalized guidance that reduces users' anxiety and increases their comfort.
*Illustrative imageLearning support for understanding the functions of ICT devices
By making the mechanisms of a system visible, the lab aims to develop methods for designing teaching materials that let learners efficiently acquire the knowledge to deal flexibly with problems.
*Illustrative imageUse of mobile devices in education
Through learning log analysis and behavior modeling, the lab develops learning methods suited to each learner's learning style and skills, along with ways to choose among them, aiming to realize blended learning support.
*Illustrative imageSupporting mental models and knowledge acquisition
The lab studies support for knowledge acquisition and effective learning methods.
MembersFaculty
The members of the Cognitive Support Systems Lab consist of faculty, students in the doctoral program, the master's program, and the College of Information Science, and research students.As of 2026
- Associate ProfessorHiroshi Furukawa
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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: “Commercial Technology (140214-F-CE345-001)” 作者不詳 / Public domain (cropped)
- Next-generation pedestrian navigation: “Smartphone with navigation map app” Santeri Viinamäki / CC BY-SA 4.0 (cropped)
- Learning support for understanding the functions of ICT devices: “TP-Link WR841ND WiFi router transparent” Florian838 / CC BY 4.0 (cropped)
- Use of mobile devices in education: “Tabletunterricht 06” Aigner Ronja, Kohlmeier Michelle / CC0 (cropped)
- Supporting mental models and knowledge acquisition: “Leiden University Library, Group Study Room” Libr / CC BY 3.0 (cropped)
- Related lab (Cognitive Systems Design Lab): “Tesla Autopilot Engaged in Model X” Ian Maddox / CC BY-SA 4.0 (cropped)
- Related lab (Eureka! Design Lab): “Waymo self-driving car side view.gk” Grendelkhan / CC BY-SA 4.0 (cropped)
- Related lab (Interactive Programming Lab): “Basic model of HCI” Dr. Greywolf / CC BY-SA 4.0 (cropped)
- Related lab (Visualization and Interactive Systems Lab): “Visualization of the world wide web common crawl 2012” Sebastian Schelter / CC BY-SA 3.0 (cropped)
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