A Survey on Deep Multi-modal Learning for Body Language Recognition and Generation
MultiMediate'22: Backchannel Detection and Agreement Estimation in Group Interactions
Backchannels, ie short interjections of the listener, serve important meta-conversational
purposes like signifying attention or indicating agreement. Despite their key role, automatic …
purposes like signifying attention or indicating agreement. Despite their key role, automatic …
A Bayesian theory of mind approach to nonverbal communication
This paper defines a dual computational framework to nonverbal communication for human-
robot interactions. We use a Bayesian Theory of Mind approach to model dyadic storytelling …
robot interactions. We use a Bayesian Theory of Mind approach to model dyadic storytelling …
Towards social & engaging peer learning: Predicting backchanneling and disengagement in children
Social robots and interactive computer applications have the potential to foster early
language development in young children by acting as peer learning companions. However …
language development in young children by acting as peer learning companions. However …
A sibling interaction analysis dataset (SIBD): a scenario of screen-free programmable robotics in Chinese households
In China, with the rise of multi-child families, enhancing interactions between siblings to
promote their mutual learning has been receiving widespread attention. Among the …
promote their mutual learning has been receiving widespread attention. Among the …
Multimodal user feedback during adaptive robot-human presentations
Feedback is an essential part of all communication, and agents communicating with humans
must be able to both give and receive feedback in order to ensure mutual understanding. In …
must be able to both give and receive feedback in order to ensure mutual understanding. In …
SMILEY—assistive application to support social and emotional skills in SPCD individuals
According to the available studies, mobile applications have provided significant support in
improving the diverse skills of special individuals with social pragmatic communication …
improving the diverse skills of special individuals with social pragmatic communication …
QUB-PHEO: A Visual-Based Dyadic Multi-View Dataset for Intention Inference in Collaborative Assembly
QUB-PHEO introduces a visual-based, dyadic dataset with the potential of advancing
human-robot interaction (HRI) research in assembly operations and intention inference. This …
human-robot interaction (HRI) research in assembly operations and intention inference. This …