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Psychological Informatics Lab
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The lab investigates how human attention and behavior work, and applies the findings to driving and support for older adults.
AboutAbout the lab
Connecting the understanding of the mind to the world
The Psychological Informatics Lab (Kumada-Nakashima Lab) aims to clarify the mechanisms of human cognition and behavior from an interdisciplinary perspective spanning psychology, brain science, engineering, and informatics, and to return the results to society.
Among human cognitive functions, the lab focuses especially on attention and executive function, investigating their psychological mechanisms and neuroscientific foundations.
Based on behavioral and cognitive psychology experiments, and also using eye movement measurement and measurement of brain function, the lab approaches the mechanisms of the brain and mind.
Key terms
- Attention
- The mental function of selecting information that suits one's goal from a large amount of information
- Executive function
- The mental function of organizing behavior according to one's goals and carrying it out while switching at appropriate times
- Eye movement measurement
- A method of recording eye movements to investigate where and how a person looks
ResearchResearch themes
From the perspective of integrating basic and applied research, the lab pursues its research using a variety of methods.
*Illustrative imageCognition and support during driving
The lab investigates the characteristics of drivers' cognition and operation while driving a car, and the brain and cognitive mechanisms that underlie them.
*Illustrative imageCognitive decline due to aging and brain damage
The lab investigates how attention and executive function change with aging or after-effects of conditions such as cerebral infarction, and clarifies the mechanisms behind these changes.
Estimating mental states from language
The lab studies the relationship between language and human psychological states using natural language processing methods. It is also researching ways to make the training of deep learning models more efficient by incorporating characteristics of human cognition.
MembersFaculty
- ProfessorTakatsune Kumada
- Associate ProfessorRyoichi Nakashima
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: “Car sim virage” DriverSafety / CC BY 3.0 (cropped)
- Cognition and support during driving: “SIMUVEG” Ipareja / Public domain (cropped)
- Cognitive decline due to aging and brain damage: “Elderly Man Reading at Gate - Tirana - Albania ( )” Adam Jones from Kelowna, BC, Canada / CC BY-SA 2.0 (cropped)
- Related lab (認知情報学 分野): “Human eye iris 1” Kamil Saitov / CC BY 4.0 (cropped)
- Related lab (脳情報学 分野): “EEG Recording Cap” Chris Hope / CC BY 2.0 (cropped)
- Related lab (応用数理モデル
（連携ユニット） ): “Power plant control room” Magnetic Rahim / CC BY-SA 4.0 (cropped) - Related lab (医療健康データ科学 分野): “Medical technician using ultrasound equipment in a clinical setting” Shixart1985 / CC BY 2.0 (cropped)
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