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Found 7 papers, 0 papers with code
LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing
Based on these findings, we propose design implications to inform the future development of agent-assisted content editing.
DrawTalking: Building Interactive Worlds by Sketching and Speaking
We introduce DrawTalking, an approach to building and controlling interactive worlds by sketching and speaking.
1D-Touch: NLP-Assisted Coarse Text Selection via a Semi-Direct Gesture
We introduce 1D-Touch, a novel text selection method that complements the carets-based sub-word selection by facilitating the selection of semantic units of words and above.
Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation
To address this limitation, we propose a framework that facilitates the structured generation of design space in which users can seamlessly explore, evaluate, and synthesize a multitude of responses.
CrossTalk: Enhancing Communication and Collaboration in Videoconferencing with Intent Recognition from Conversational Speech
Despite the advances and ubiquity of digital communication media such as videoconferencing and virtual reality, they remain oblivious to the rich intentions expressed by users.
Sensecape: Enabling Multilevel Exploration and Sensemaking with Large Language Models
People are increasingly turning to large language models (LLMs) for complex information tasks like academic research or planning a move to another city.
Graphologue: Exploring Large Language Model Responses with Interactive Diagrams
Large language models (LLMs) have recently soared in popularity due to their ease of access and the unprecedented ability to synthesize text responses to diverse user questions.
