Research

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Introduction

In recent years, the integration of human emotions with technological advancements has become increasingly important. As the digital landscape evolves, there is a growing need to develop technologies that can understand, respond to, and influence human emotions effectively. Affective Computing focuses on the human aspect, striving to interpret and respond to emotional states, while Affective/Kansei Engineering emphasizes the emotional impact of products and services on users. The establishment of "Affective Technologies" seeks to bridge these two disciplines, creating a holistic approach that leverages both human-centered and product-centered knowledge, aiming to produce innovative technologies and applications that enhance user experience, satisfaction, and overall well-being by considering emotional responses throughout the design and development process.

Research Themes

Our laboratory aims to cultivate research skills through advanced research areas including but not limited to the following areas.

Human Behavior Recognition and Analysis

This topic focuses on developing and applying data science techniques to detect and classify human emotions and behaviors from multimodal biosignal sensing for a comprehensive understanding of emotional and behavioral states.

Emotional Design and Evaluation

This area explores principles and methodologies for developing products/services that evoke specific emotional responses, aiming to create user-friendly experiences that effectively meet users' emotional needs.

Affective Technologies in Practice

This topic covers the real-world implementation of affective technologies across various fields. It emphasizes the development of emotionally intelligent systems and devices that enhance user experience and well-being.

Ongoing Research Topics

Quantifying the effects of applying kawaii design to public spaces on increasing positive emotions and reducing stress using biological signals
Autonomous vehicle control based on real-time biofeedback of passenger emotions
Kawaii biofeedback system for predicting and preventing human errors in aircraft-related operations
Study on style of kawaii and luxury fashion using Deep Learning techniques
Systematic prediction of sustainability in fashion through image and metadata analysis

Other related topics are also welcome.

Research Facilities

Our laboratory provides various equipment and sensing technologies that can be used to conduct a wide range of research as follows:

Brainwave measurement