Yusuke Ujitoko


NTT CS Lab (2020-)


Yusuke Ujitoko is a researcher of NTT Communication Science Laboratory since 2020. He used to be a member of R&D Group in Hitachi, Ltd from 2016 to 2020. He received PhD. in engineering at the University of Electro-Communications, Japan in 2020. He received a B.E. degree in mechanical engineering and M.A.E. degree in inter-disciplinary information studies from the University of Tokyo, Japan in 2014 and 2016. His research interests include applied haptic perception and haptic interfaces.


  • Haptic Design
  • Haptic Presentation
  • Haptic Augmentation


  • Ph.D, Graduate School of Information Systems,, 2020

    The University of Electro-Communications

  • M.A.Sc., Graduate School of Interdisciplinary Information Studies, 2016

    The University of Tokyo

  • B.E., Faculty of Engineering, Department of Mechanical Engineering, 2014

    The University of Tokyo


High Density Pin Arrays

This study proposes a novel design of a finger-mounted pin-array display that works around the constraint. We adopted a pneumatic drive because the pneumatic actuator, or air cylinder, can be a simple structure and can be arranged in a dense array. Our developed finger-mounted display has a higher contact point density and a larger coverage area than any other previously developed devices.

Pseudo Roughness_finger

Previously, we proposed a pseudo-haptic method of changing the perceived roughness of virtual textured surfaces represented by vibrational feedback during pen-surface interaction. This study extends the method to finger-surface interactions in order to change the roughness judgment of real surface. Users watched computer-generated visual oscillations of the contact point while exploring the texture using bare fingers.

Vibrator Transparency

We define the ‘‘vibrator transparent system’’ as a control system that absorbs the difference in vibrator environments' frequency characteristics. Therefore, with this system, it is possible to reproduce the output vibration by only reusing the input signals from vibrotactile signal assets.

Pseudo-haptic Friction

In this study, we propose a new method for presenting static frictional sensation using the pseudo-haptic effect as a first attempt, which is the simplest implementation of presenting static friction sensation.

GAN-based Vibrotactile Design

We propose a new generative model that realizes the vibrotactile generation automatically based on texture images or material attributes. Our method can stop wasting time for hand-tuning vibrotactile signals and it promotes the rapid-design of vibrotactile signals.

Simulating Wearable Pin-array Display

We prepared a real testing environment where the user touched the real object, and where we could simulate both the sparse contact point and the penetration on the shape recognition.

Pseudo-haptic Roughness

We focus on fine roughness perception and we propose a method using a pseudo-haptic effect to modulate fine roughness perception of vibrotactile texture

Pseudo-haptics on Touchscreen

We proposes a method that renders haptic perceptions only using a touchscreen based on visuo-haptic interaction. The method evokes a feeling of resistive force by creating a discrepancy between the movement of the finger during swiping the screen and the background image.

Recent Publications

Quickly discover relevant content by filtering publications.
(2020). Edge Vibration Improves Ability to Discriminate Roughness Difference of Adjoining Areas. IEEE Transactions on Haptics.


(2020). Re-using Vibrotactile Signal Assets for Different Black Box Vibrators without Re-designing. 2020 IEEE Haptics Symposium (acceptance rate = 38%).

(2020). 敵対的学習を用いた触覚提示向け振動の自動生成. 情報処理学会論文誌コンシューマ・デバイス&システム(CDS).

(2020). GAN-Based Fine-Tuning of Vibrotactile Signals to Render Material Surfaces. IEEE Access.