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cs.HC2024
SimTube: Generating Simulated Video Comments through Multimodal AI and User Personas
Yu-Kai Hung, Yun-Chien Huang, Ting-Yu Su +4
Audience feedback is crucial for refining video content, yet it typically comes after publication, limiting creators' ability to make timely adjustments. To bridge this gap, we int…
cs.HC2024★ 4 cited
Flowy: Supporting UX Design Decisions Through AI-Driven Pattern Annotation in Multi-Screen User Flows
Yuwen Lu, Ziang Tong, Qinyi Zhao +3
Many recent AI-powered UX design tools focus on generating individual static UI screens from natural language. However, they overlook the crucial aspect of interactions and user ex…
cs.HC2024
LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing
Bryan Wang, Yuliang Li, Zhaoyang Lv +3
Video creation has become increasingly popular, yet the expertise and effort required for editing often pose barriers to beginners. In this paper, we explore the integration of lar…