KIS Laboratory

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Kansei Information Systems Lab

Where Kansei Meets Engineering

Imagine computers that truly get you. We’re pioneering tech that feels, thinks, and adapts. Our lab crafts AI with empathy, decoding human emotions and quirks. But here’s the kicker: we’re harnessing interactive evolutionary computation models. These cutting-edge systems evolve in real-time, learning your preferences and adapting to your unique style. It’s not just smart tech – it’s tech that grows with you, reshaping the human-machine bond. Welcome to AI with a personal touch!

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About us

Team Members

Masataka Tokumaru

Hey there! I’m Masataka, and I’d like to welcome you to the Kansei Information Systems Lab’s website. Ever wondered how we can teach computers to understand the fuzzy, complex world of human emotions and preferences? That’s our specialty! We’re cracking the code on ‘ambiguity’ – the final frontier that computers have struggled with for so long. It’s the key to creating truly human-friendly tech. Imagine robots that feel alive and computer systems that are actually a joy to use! Intrigued? Whether you’re a student here or just a curious mind, our doors are wide open. Drop me a line at toku@kansai-u.ac.jp and come see what we’re cooking up. Let’s push the boundaries of human-computer interaction together!

Emmanuel Ayedoun

Hello there! I’m Emmanuel, a faculty member at this lab. We’re diving into the fascinating intersection of human-computer interaction, cognitive psychology, and kansei engineering. Our mission? To create computer systems with a touch of humanity – systems that can empathize, show consideration, and spark motivation.
Curious about how we’re teaching computers to be more emotionally savvy? Or how this could revolutionize the way we learn and interact with technology? Drop me a line at ”emay@kansai-u.ac.jp”. Click here to visit the individual research homepage.

Full Team Members

Research Interests

Major Research Topics

Interactive Evolutionary Computation

Interactive Evolutionary Computation is a method in which humans and computers collaborate through communication to create outputs that align with human sensibilities. These outputs can take many forms, such as clothing designs and color schemes, shoe designs and fashion coordination, music enhanced with sound effects, or video expressions like camera work in 3D spaces.

Health and Exercise Support System

In today's world, lifestyle-related diseases are becoming a bigger threat. Because of this, people are paying more attention to ways to deal with these diseases. Recently, devices like Apple Watch and Fitbit have come out, making it easy to check how our bodies are doing. This means people can now take care of their health more easily, and they're becoming more aware of their daily habits.

Kansei Retrieval Systems

In today's modern world, if you want information, you can easily find it by searching keywords on the internet. But there's so much information that pops up, it's hard to find exactly what you're looking for. For example, if you try to buy fashion items online, you get too many results. It's really tough to look at every single item to find one that matches what you like. We're working on solving this problem by making machines understand and address people's preferences.

Kansei Robots

In recent years, robots have become a bigger part of our everyday lives. People are especially interested in communication robots like SONY's AIBO and SoftBank's Pepper. These robots can respond to human speech, and they entertain us with gestures, showing emotions, and talking.

Achievements & Activity

Recent Publications

Key Papers

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Emmanuel Ayedoun, Masataka Tokumaru, “Towards Emotionally Expressive Virtual Human Agents to Foster L2 Production: insights from a preliminary Woz experiment”, Multimodal Technol. Interact. Journal Vol.6, No.9, pp.77-91, 2022-09. https://doi.org/10.3390/mti6090077, 2022-09.

*Hiroshi Takenouchi, Masataka Tokumaru, “Interactive Evolutionary Computation with Artificial Bee Colony Method for Multimodal Preferences Retrieval”, International Journal of Affective Engineering, Vol.22, No.1, pp.1-10, 2023-01.