A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents

• URL: http://arxiv.org/abs/2102.12302v1
• Date: Wed, 24 Feb 2021 14:31:21 GMT
• Title: A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents
• Authors: Rajmund Nagy, Taras Kucherenko, Birger Moell, Andr\'e Pereira, Hedvig Kjellstr\"om and Ulysses Bernardet
• Abstract summary: Embodied conversational agents (ECAs) benefit from non-verbal behavior for natural and efficient interaction with users. Recent end-to-end gesture generation methods have not been evaluated in a real-time interaction with users. We present a proof-of-concept framework which is intended to facilitate evaluation of modern gesture generation models in interaction.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Embodied conversational agents (ECAs) benefit from non-verbal behavior for natural and efficient interaction with users. Gesticulation - hand and arm movements accompanying speech - is an essential part of non-verbal behavior. Gesture generation models have been developed for several decades: starting with rule-based and ending with mainly data-driven methods. To date, recent end-to-end gesture generation methods have not been evaluated in a real-time interaction with users. We present a proof-of-concept framework, which is intended to facilitate evaluation of modern gesture generation models in interaction. We demonstrate an extensible open-source framework that contains three components: 1) a 3D interactive agent; 2) a chatbot backend; 3) a gesticulating system. Each component can be replaced, making the proposed framework applicable for investigating the effect of different gesturing models in real-time interactions with different communication modalities, chatbot backends, or different agent appearances. The code and video are available at the project page https://nagyrajmund.github.io/project/gesturebot.

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