3 papers
cs.CV2026
GazeBehavior Annotation Toolkit (GBAT): AI-powered toolkit for automatic annotation of egocentric eye-tracking and video data of child-caregiver interaction
Iba Baig, Kevin Li, Yanbin Xu +5
Video recordings of child-caregiver interactions enable investigation of attentional dynamics during naturalistic behavior. Such multimodal recording also allows researchers to exa…
cs.LG2026
EgoBabyVLM: Benchmarking Cross-Modal Learning from Naturalistic Egocentric Video Data
Dongyan Lin, Phillip Rust, Angel Villar Corrales +19
Children acquire language grounding with remarkable robustness from limited visuo-linguistic input in ways that surpass today's best large multimodal models. Recent research sugges…
cs.HC2025
Challenges and Opportunities for Participatory Design of Conversational Agents for Young People's Wellbeing
Natalia Kucirkova, Alexis Hiniker, Megumi Ishikawa +3
This paper outlines the challenges and opportunities of research on conversational agents with children and young people across four countries, exploring the ways AI technologies c…