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Action and Behavior Analysis Lab
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The lab studies behavioral observation, using video analysis to capture human behavior as numerical data.
AboutAbout the lab
Quantifying behavior from video for objective observation.
The Action and Behavior Analysis Lab studies methods for observing and examining how people behave when using tools and devices, using video analysis technology.
In design, observing users' behavior is a way to find where a tool can be improved, but carrying out such observation requires an observer's experience and a great deal of effort.
To address this, the lab aims to reduce the labor of observation and make it objective by turning behavior in video into numerical data, and it develops applications that support behavioral observation.
Through joint development with companies and R&D consulting, the lab has also built up a track record and experience in quantitative behavioral observation.
Key terms
- Quantitative behavioral observation
- An observation method that analyzes human behavior numerically, using coordinate data extracted from video footage
- Keypoint detection
- A technique that tracks specific points (keypoints) on a person in video and extracts them as coordinates
- Features
- Numerical values derived from coordinate data that represent characteristics of posture and movement
ResearchResearch themes
The lab uses video analysis to capture user behavior with tools and devices as numerical data, aiming to make behavioral observation less labor-intensive and more objective. It develops applications that support observation, which are also used in joint development with companies.
*Illustrative imageCapturing Behavior from Video as Numerical Data
The lab studies methods that use video analysis to turn user behavior with tools and devices into numerical data. The aim is to reduce the effort observation requires and to make it objective.
Developing Behavior Senpai
The lab develops Behavior Senpai, an app that uses keypoint detection AI to convert the movements of people in video into time-series coordinate data for analysis. It transforms the coordinates into time series of easily interpretable features and analyzes posture patterns.
*Illustrative imageDeveloping a Tool for Managing Experimental Procedures
The lab develops Timeline-kun, a desktop app for planning, running, and recording the procedures of time-scheduled experiments in human-subject research. Schedules can be edited in a spreadsheet and displayed as a timeline.
*Illustrative imageAnalyzing Subtle Changes in Facial Expressions and Movements
Using machine learning, the lab observes and analyzes subtle changes in users' facial expressions and movements during GUI operation. It aims to develop a method for objectively describing user states such as concentration, interest, boredom, and fatigue.
MembersFaculty
- Assistant ProfessorEigo Nishimura
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: “VSDC Motion Tracking” Fever Dream / CC BY-SA 4.0 (cropped)
- Capturing Behavior from Video as Numerical Data: “Body Motion Capture” Raíssa Ruschel / CC BY 2.0 (cropped)
- Developing a Tool for Managing Experimental Procedures: “A laboratory apparatus 3” Goodymeraj / CC0 (cropped)
- Analyzing Subtle Changes in Facial Expressions and Movements: “Usability Lab 02” Andreas Bohnenstengel / CC BY-SA 3.0 de (cropped)
- Related lab (Action and Behavior Analysis Lab): “Estudio de Motion Capture en Funcom” Jesusbella / CC BY-SA 4.0 (cropped)
- Related lab (Kansei and Behavioral Science Lab): “Sunrise at Bodie Island Light Station” CapeHatterasNPS / Public domain (cropped)
- Related lab (Kansei and Behavior Science Lab): “Effet de la pollution lumineuse sur l'arbre urbain Effect of light pollution on urban trees and dead leaves 04” Lamiot / CC BY-SA 4.0 (cropped)
- Related lab (Green Space Conservation Lab): “Oak woodland after the CCC’s cut down encroaching conifers ( )” USFWS Pacific Southwest Region / Public domain (cropped)
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