R&D Support
We support R&D teams with neuroscience and psychology, guiding the research journey from design to data, insights, and evidence-based results.
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Neuroscience Experiment Support
Drawing on our specialized expertise and extensive experience, we provide planning, management, and analysis support for experiments conducted by university and corporate R&D teams.
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Psychological and neuroscience experiments
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Questionnaire surveys
02
Statistical Analysis Support for Neuroscience and Psychology
We provide comprehensive statistical analysis support to enhance the quality of research outcomes, covering everything from proposing analytical methods to assisting with interpretation of complex research data, such as EEG data and psychological indicators.
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Analysis and interpretation support
Case Study
Turning excitement and sensibility into visual insights
In this project, we developed a real-time brainwave analysis technology that quantifies and visualizes human excitement. By leveraging neuroscientific methods, this system enables the objective evaluation of unconscious emotions, capturing authentic reactions that traditional questionnaires and interviews often miss.
Background, Issues, and Objectives
In product development and advertising evaluation, it is essential to accurately understand consumers’ emotions and reactions. However, conventional methods often rely on subjective opinions, making it difficult to capture genuine emotional responses.
This project aims to quantitatively evaluate unconscious emotions by directly measuring brain activity and to apply these insights to the development of products and services.
Approach and Methodology
Using EEG devices, we measure participants’ brain activity in real time and evaluate their emotions based on three axes: Valence (pleasant–unpleasant), Arousal (level of excitement), and Expectation (sense of anticipation).
This model makes it possible to quantify and visualize the feeling of “waku waku”, emotional excitement.
It also takes individual personality traits into account, classifying participants into three personality types to optimize the evaluation model for each.
Implementation Flow and Roadmap
1. Experiment Design: Determine the evaluation target (e.g., product, advertisement, video, etc.) and establish the experimental protocol.
2. Data Collection: Equip participants with EEG devices and present the evaluation targets while collecting brainwave data.
3. Data Analysis: Analyze the collected EEG data and quantify the level of “waku waku” (excitement) based on a three-axis emotional model.
4. Visualization of Results: Display the analysis results visually through graphs or interface dashboards.
5. Feedback: Provide improvement proposals for products or services based on the obtained results.
Use Cases
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Product Development: Check how people really feel about new product ideas and designs.
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Advertising & Marketing: See how much emotion your ads, videos, or slogans create.
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Entertainment: Find out how audiences react to movies, games, or other content.
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Healthcare & Wellness: Understand the feelings of elderly people or dementia patients to improve care.
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Education: Measure students’ interest and attention to make learning more fun and effective.
Request Services
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Xiberlinc Inc.
Center of Garage, 1-16-3 Yokokawa,
Sumida City, Tokyo 130-0003
Japan