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cs.HC2025
TofuML: A Spatio-Physical Interactive Machine Learning Device for Interactive Exploration of Machine Learning for Novices
Wataru Kawabe, Hiroto Fukuda, Akihisa Shitara +2
We introduce TofuML, an interactive system designed to make machine learning (ML) concepts more accessible and engaging for non-expert users. Unlike conventional GUI-based systems,…
cs.HC2024
DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users
Wataru Kawabe, Yusuke Sugano
Machine learning (ML) models have significantly impacted various domains in our everyday lives. While large language models (LLMs) offer intuitive interfaces and versatility, task-…
cs.HC2024
Evaluating User Experience and Data Quality in Gamified Data Collection for Appearance-Based Gaze Estimation
Mingtao Yue, Tomomi Sayuda, Miles Pennington +1
Appearance-based gaze estimation, which uses only a regular camera to estimate human gaze, is important in various application fields. While the technique faces data bias issues, d…