English

MRecGen: Multimodal Appropriate Reaction Generator

Computer Vision and Pattern Recognition 2023-07-07 v1

Abstract

Verbal and non-verbal human reaction generation is a challenging task, as different reactions could be appropriate for responding to the same behaviour. This paper proposes the first multiple and multimodal (verbal and nonverbal) appropriate human reaction generation framework that can generate appropriate and realistic human-style reactions (displayed in the form of synchronised text, audio and video streams) in response to an input user behaviour. This novel technique can be applied to various human-computer interaction scenarios by generating appropriate virtual agent/robot behaviours. Our demo is available at \url{https://github.com/SSYSteve/MRecGen}.

Keywords

Cite

@article{arxiv.2307.02609,
  title  = {MRecGen: Multimodal Appropriate Reaction Generator},
  author = {Jiaqi Xu and Cheng Luo and Weicheng Xie and Linlin Shen and Xiaofeng Liu and Lu Liu and Hatice Gunes and Siyang Song},
  journal= {arXiv preprint arXiv:2307.02609},
  year   = {2023}
}
R2 v1 2026-06-28T11:23:08.489Z