765 citations · 1.7k across the 20 of their papers we have counts for
6 papers · 1 filter
Technical Understanding from IML Hands-on Experience: A Study through a Public Event for Science Museum Visitors
Wataru Kawabe, Yuri Nakao, Akihisa Shitara +1
While AI technology is becoming increasingly prevalent in our daily lives, the comprehension of machine learning (ML) among non-experts remains limited. Interactive machine learnin…
Image-to-Text Translation for Interactive Image Recognition: A Comparative User Study with Non-Expert Users
Wataru Kawabe, Yusuke Sugano
Interactive machine learning (IML) allows users to build their custom machine learning models without expert knowledge. While most existing IML systems are designed with classifica…
Evaluation of Appearance-Based Methods and Implications for Gaze-Based Applications
Xucong Zhang, Yusuke Sugano, Andreas Bulling
Appearance-based gaze estimation methods that only require an off-the-shelf camera have significantly improved but they are still not yet widely used in the human-computer interact…
Forecasting User Attention During Everyday Mobile Interactions Using Device-Integrated and Wearable Sensors
Julian Steil, Philipp Müller, Yusuke Sugano +1
Visual attention is highly fragmented during mobile interactions, but the erratic nature of attention shifts currently limits attentive user interfaces to adapting after the fact,…
A Multimodal Corpus of Expert Gaze and Behavior during Phonetic Segmentation Tasks
Arif Khan, Ingmar Steiner, Yusuke Sugano +2
Phonetic segmentation is the process of splitting speech into distinct phonetic units. Human experts routinely perform this task manually by analyzing auditory and visual cues usin…
3D Gaze Estimation from 2D Pupil Positions on Monocular Head-Mounted Eye Trackers
Mohsen Mansouryar, Julian Steil, Yusuke Sugano +1
3D gaze information is important for scene-centric attention analysis but accurate estimation and analysis of 3D gaze in real-world environments remains challenging. We present a n…