A Latency-Optimized LLM-based Multimodal Dialogue System for Embodied Conversational Agents in VR

ACM International Conference on Intelligent Virtual Agents (IVA), pp. 1–3

Abstract

Figure 1: Our LLM-driven guide assists users in exploring the museum and in learning about artworks and artists.

Authors 4

1. Konstantin W. Kühlem Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Aachen, Germany

2. Jonathan Ehret Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Aachen, Germany

3. Torsten Kuhlen Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Aachen, Germany

4. Andrea Bönsch Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Aachen, Germany