Singaravelan, Gopi KrishnanLay, Zhi LynnHan, Ping-HsuanChristie, MarcHan, Ping-HsuanLin, Shih-SyunPietroni, NicoSchneider, TeseoTsai, Hsin-RueyWang, Yu-ShuenZhang, Eugene2025-10-072025-10-072025978-3-03868-295-0https://doi.org/10.2312/pg.20251316https://diglib.eg.org/handle/10.2312/pg20251316This study presents techniques for managing response delays in avatars with large language models (LLMs) to enhance user interaction. While existing avatar-based LLMs focus on human-like conversational abilities, they often overlook the impact of response delays on user experience. Our system strategically reframes these delays as opportunities to enhance the perceived humanness of the avatar by incorporating emotion-based animations, a companion pet, and contextually appropriate audio fillers. Through thoughtful audio-visual design and user interface enhancements during waiting periods, the demo showcases how effective delay management can sustain engagement, foster natural interactions, and turn waiting moments into meaningful elements of the conversational experience.Attribution 4.0 International LicenseCCS Concepts: Methods and Applications → Artificial Intelligence ; Interaction → User Interface Design; Animation → Behavioral AnimationMethods and Applications → Artificial IntelligenceInteraction → User Interface DesignAnimation → Behavioral Animation10.2312/pg.202513162 pages