activity
20172026
most citedGesture-aware Interactive Machine Teaching with In-situ Object Annotations

20 citations · 55 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.HC2026★ 2 cited

What We Talk About When We Talk About Frameworks in HCI

Shitao Fang, Koji Yatani, Kasper Hornbæk

In HCI, frameworks function as a type of theoretical contribution, often supporting ideation, design, and evaluation. Yet, little is known about how they are actually used, what fu…

cs.HC2022★ 20 cited

Gesture-aware Interactive Machine Teaching with In-situ Object Annotations

Zhongyi Zhou, Koji Yatani

Interactive Machine Teaching (IMT) systems allow non-experts to easily create Machine Learning (ML) models. However, existing vision-based IMT systems either ignore annotations on…

cs.HC2021★ 5 cited

Enhancing Model Assessment in Vision-based Interactive Machine Teaching through Real-time Saliency Map Visualization

Zhongyi Zhou, Koji Yatani

Interactive Machine Teaching systems allow users to create customized machine learning models through an iterative process of user-guided training and model assessment. They primar…

cs.HC2021

SyncUp: Vision-based Practice Support for Synchronized Dancing

Zhongyi Zhou, Anran Xu, Koji Yatani

The beauty of synchronized dancing lies in the synchronization of body movements among multiple dancers. While dancers utilize camera recordings for their practice, standard video…

cs.HC2018

Tabby: Explorable Design for 3D Printing Textures

Ryo Suzuki, Koji Yatani, Mark D. Gross +1

This paper presents Tabby, an interactive and explorable design tool for 3D printing textures. Tabby allows texture design with direct manipulation in the following workflow: 1) se…

cs.HC2017★ 4 cited

Autocomplete Textures for 3D Printing

Ryo Suzuki, Tom Yeh, Koji Yatani +1

Texture is an essential property of physical objects that affects aesthetics, usability, and functionality. However, designing and applying textures to 3D objects with existing too…