Kazuma Aoyama

Dveloping Sensory Editing Interface using Percutaneous Electrical Stimulation

Researcher

Kazuma Aoyama

Outline

The purpose of this study is to develop the “Sensory Editing Interface” using Percutaneous Electrical Stimulation. Sensory Editing Interface is able to not only induce the virtual sensation, but also enhance and supress the sensation evoked by detecting the physical phenomenon from the real world. To conduct this study, the ionic migration model will be constructed. The sensory edition stimulation will be developed through the simulation of ionic migration in human body using its model.

Daisuke Iwai

Spatial Augmented Reality Conssitent with Real World Light Field Context

Researcher

Daisuke Iwai

Outline

Spatial Augmented Reality (AR), which manipulates the appearance of the real world through projected imagery, achieves a smart extension of the real environment in combination with AI and IoT and enables interaction between a user and the augmented environment. On the other hand, in current spatial AR systems, projected images and the augmented environment have not been able to be merged seamlessly due to various deficiencies inherent in current spatial AR technologies such as “lack of environmental lighting” and “shadowing by occlusion.” In this research, I will solve these problems to develop a novel spatial AR technological platform that naturally augments the real world as the surface reflectance appear to have changed.

Akifumi Kishi

Artificial manipulation of human sleep dynamics

Researcher

Akifumi Kishi

Outline

Sleep forms the basis of physical and mental health. In modern society, it is essential for people to obtain good quality sleep. In this study, I will focus on the phenomena of brain state transitions during sleep and develop a unique method of controlling sleep state dynamics. In particular, I will establish a method to control the depth of sleep (i.e., designing quality sleep) by using non-invasive brain stimulation techniques. This work aims at not only improving sleep quality but also at augmenting hippocampus-dependent spatial navigational memory consolidation.

Chihiro Nakagawa

Development of automatic driving system for personal mobility vehicles

Researcher

Chihiro Nakagawa

Outline

For automatic driving in personal mobility vehicles (PMVs) , it is important to consider the dynamics of the driver in addition to that of the vehicle. To understand the difference between maneuvering with intention and without intention, the dynamic behavior of a driver is measured using a three-dimensional motion analysis system. Human modeling will be proposed through multibody dynamics. Automatic driving control is constructed at two levels of driving automation, “human driver” and “system,” to monitor the driving environment.

Kazutaka Nakashima

Interactive support for 3D content creation

Researcher

Kazutaka Nakashima

Outline

In this project, I would propose interactive methods that support 3D content creation in the wild. Specifically, my research topics are i) support structure generation for 3D printing and ii) UV un-wrapping of 3D surface meshes. Because the expected input could be noisy, I would develop very robust algorithms. In addition, the achievement would be released as plugins of common software for easy to use.

Tamami Nakano

Elucidation of self-image distortion mechanism by SNS and development of interaction design for distortion correction

Researcher

Tamami Nakano

Outline

This project explores the neural mechanisms of self-image distortion formation generated by face-retouching behavior. Especially, by brain imaging methods, we will identify the neural mechanisms producing a dependence of face-retouching behavior and those suppressing an excessive retouching behavior. We will also explore the developmental process of self-image formation and its’ distortion from childhood to adolescent. Furthermore, by intervening in the actual SNS interaction, we will develop an appropriate interaction design that can correct the distortion of self-image.

Kazuki Nagashima

Development of Artifical Olfactory Sensor System towards Collection and Spatiotemporal Anaysis of Multi Dimensional Human Chemical Information

Researcher

Kazuki Nagashima

Outline

This resarch aims to develop an artificial olfactory sensor system which is robust even under variable environment. Using the developed sensor system, multi-dimensional chemical information is extracted from exhaled human breath and analyzed for understanding a complex human-enviroment interaction. This research will open up a novel technology ‘Internet of Human Chemistry (IoHC)’ for understanding and designing the human-environment interaction via chemical information.

Masamichi Hayashi

Manipulation of subjective time by artificial neurofeedback

Researcher

Masamichi Hayashi

Outline

The goal of this project is to develop a system that allows users to manipulate their subjective experience of time. This system performs online-estimation of subjective time by artificial neural networks where visual and physiological information collected through a wearable device are entered. Based on the estimates of subjective time, the system provides optimal sensory or brain stimulation that modulates subjective time as users wish.

Yukino Baba

Probabilistic modeling of cognitive biases in individual and collective value judgment

Researcher

Yukino Baba

Outline

When humans evaluate something, their judgments are often distorted by cognitive biases. This study develops probabilistic models of the evaluation process to eliminate this distortion by considering various cognitive biases discussed in behavioral economics. Various adaptive evaluation tasks are designed to estimate cognitive biases from their corresponding responses. To estimate the true evaluation of a target by individuals and collectively by groups, this study also estimates cognitive biases in the collective evaluation process of a group.

Akihiko Murai

DATSURYOKU: motor skill acquisition support with multilevel interventions

Researcher

Akihiko Murai

Outline

Excessive muscle co-contractions lead to poor performances that contribute to sports performance failures in nervousness. It is relatively easy to contract muscles, but extremely difficult to datsuryoku (relax) them. This project would realize a motor skill acquisition (datsuryoku) support framework by modifying an interaction between body and environment through kinodynamic and cognitive interventions. The developed framework would be implemented into our society as a sports service. Failure preventions would strengthen people’s motivation to sports, and establish sport habits.