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20242026
most citedLimeCross: Context-Conditioned Layered Image Editing with Structural Consistency

2 citations · 2 across the 6 of their papers we have counts for

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cs.HC2026

Empowering Vocabulary Learning Through Teaching AI: Using LLMs as a Student to Perform Learning by Teaching in Vocabulary Acquisition

Tokio Uchida, Ko Watanabe, Andrew Vargo +5

"Learning by Teaching (LbT)" helps learners deepen their understanding by explaining concepts to others, with questions playing a vital role in identifying knowledge gaps and reinf…

cs.HC2026

HandyLabel: Towards Post-Processing to Real-Time Annotation Using Skeleton Based Hand Gesture Recognition

Sachin Kumar Singh, Ko Watanabe, Brian Moser +2

The success of machine learning is deeply linked to the availability of high-quality training data, yet retrieving and manually labeling new data remains a time-consuming and error…

cs.HC2025

Push or Light: Nudging Standing to Break Prolonged Sitting

Sohshi Yoshida, Ko Watanabe, Andreas Dengel +3

Prolonged sitting is a health risk leading to metabolic and cardiovascular diseases. To combat this, various "nudging" strategies encourage stand-ups. Behavior change triggers use…

cs.HC2025

Human-in-the-Loop Annotation for Image-Based Engagement Estimation: Assessing the Impact of Model Reliability on Annotation Accuracy

Sahana Yadnakudige Subramanya, Ko Watanabe, Andreas Dengel +1

Human-in-the-loop (HITL) frameworks are increasingly recognized for their potential to improve annotation accuracy in emotion estimation systems by combining machine predictions wi…

cs.HC2025

TrackThinkDashboard: Understanding Student Self-Regulated Learning in Programming Study

Ko Watanabe, Yuki Matsuda, Yugo Nakamura +2

In programming education, fostering self-regulated learning (SRL) skills is essential for both students and teachers. This paper introduces TrackThinkDashboard, an application desi…

cs.HC2025

GenAIReading: Augmenting Human Cognition with Interactive Digital Textbooks Using Large Language Models and Image Generation Models

Ryugo Morita, Ko Watanabe, Jinjia Zhou +2

Cognitive augmentation is a cornerstone in advancing education, particularly through personalized learning. However, personalizing extensive textual materials, such as narratives a…