At the Ishikawa Lab, we aim to understand interactions and learn from field diversity, striving to create mechanisms that enable everyone to achieve well-being through co-creation with diverse people.

We conduct research to understand how the human mind works in relationships between people and technology, working towards a society where everyone can enjoy well-being through the power of computer science. In particular, we focus on developing mechanisms that assist in achieving goals in human-human and human-machine interactions, creating systems that help everyone in a given situation achieve well-being.

Through our research, we aim to create the following values:

• Supporting vibrant lifestyles for maximizing individual well-being
• Co-creation with stakeholders in diverse inclusive societies
• Realizing new forms of human-machine collaboration through technology

In our laboratory, we value the following research design and culture:

Research Design

• Representation and Understanding of Mind (Basic Research): Research to understand how the human mind works using multimodal interactions as cues
• Development and Evaluation of Human-Machine Interactions (Applied Research): Technology development and evaluation for neurominorities

Lab Culture

• Thought Endurance: Encouraging continuous thinking about themes rather than seeking immediate answers
• Immersion into the Field: Valuing the ability to thoroughly model phenomena and develop them as computer science problems
• Innovation Mind: Fostering the ability to discover goals and tackle challenges proactively
• A Place for Self-Transformation: Creating an environment where team members can cooperatively and empathetically engage with each other, constantly updating themselves without fear of failure

Our laboratory is equipped with the latest research equipment and software, providing an environment where students can freely conduct their research activities.

Research Equipment

• PCs (MacBook Pro, Windows PC, various cloud servers)
• VR/AR (Meta Quest, Apple Vision Pro, etc.)
• Wearable sensing devices (Apple Watch, Fitbit, Polar, etc.)
• Recording equipment (360-degree cameras, action cameras, etc.)

Software Environment

• Programming languages (Python, JavaScript/TypeScript, C++, etc.)
• Cloud services (Google Cloud Platform, Microsoft Azure, Amazon Web Services, etc.)
• 3D modeling and simulation software (Blender, Unity, Unreal Engine, etc.)
• Adobe Creative Cloud (Photoshop, Illustrator, Premiere Pro, etc.)

Collaborative Research

We actively engage in collaborative research with domestic and international research institutions and companies. We particularly value collaboration with experts in the medical and welfare fields to address real-world challenges.