5 citations · 8 across the 7 of their papers we have counts for
6 papers · 1 filter
MRecGen: Multimodal Appropriate Reaction Generator
Jiaqi Xu, Cheng Luo, Weicheng Xie +5
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 fir…
REACT2023: the first Multi-modal Multiple Appropriate Facial Reaction Generation Challenge
Siyang Song, Micol Spitale, Cheng Luo +8
The Multi-modal Multiple Appropriate Facial Reaction Generation Challenge (REACT2023) is the first competition event focused on evaluating multimedia processing and machine learnin…
Reversible Graph Neural Network-based Reaction Distribution Learning for Multiple Appropriate Facial Reactions Generation
Tong Xu, Micol Spitale, Hao Tang +3
Generating facial reactions in a human-human dyadic interaction is complex and highly dependent on the context since more than one facial reactions can be appropriate for the speak…
Affective Robotics For Wellbeing: A Scoping Review
Micol Spitale, Hatice Gunes
Affective robotics research aims to better understand human social and emotional signals to improve human-robot interaction (HRI), and has been widely used during the last decade i…
Affective Computing for Human-Robot Interaction Research: Four Critical Lessons for the Hitchhiker
Hatice Gunes, Nikhil Churamani
Social Robotics and Human-Robot Interaction (HRI) research relies on different Affective Computing (AC) solutions for sensing, perceiving and understanding human affective behaviou…
Multiple Appropriate Facial Reaction Generation in Dyadic Interaction Settings: What, Why and How?
Siyang Song, Micol Spitale, Yiming Luo +2
According to the Stimulus Organism Response (SOR) theory, all human behavioral reactions are stimulated by context, where people will process the received stimulus and produce an a…