Social eye gaze in human-robot interaction: a review
This article reviews the state of the art in social eye gaze for human-robot interaction (HRI). It
establishes three categories of gaze research in HRI, defined by differences in goals and …
establishes three categories of gaze research in HRI, defined by differences in goals and …
[HTML][HTML] A survey on the design and evolution of social robots—Past, present and future
Despite the relatively young age of Human–Robot Interaction (HRI) as a field, there is a
large volume of research on advances in robot hardware, software and behavior. The goal …
large volume of research on advances in robot hardware, software and behavior. The goal …
Taming diffusion models for audio-driven co-speech gesture generation
Animating virtual avatars to make co-speech gestures facilitates various applications in
human-machine interaction. The existing methods mainly rely on generative adversarial …
human-machine interaction. The existing methods mainly rely on generative adversarial …
Rhythmic gesticulator: Rhythm-aware co-speech gesture synthesis with hierarchical neural embeddings
Automatic synthesis of realistic co-speech gestures is an increasingly important yet
challenging task in artificial embodied agent creation. Previous systems mainly focus on …
challenging task in artificial embodied agent creation. Previous systems mainly focus on …
Learning hierarchical cross-modal association for co-speech gesture generation
Generating speech-consistent body and gesture movements is a long-standing problem in
virtual avatar creation. Previous studies often synthesize pose movement in a holistic …
virtual avatar creation. Previous studies often synthesize pose movement in a holistic …
Livelyspeaker: Towards semantic-aware co-speech gesture generation
Gestures are non-verbal but important behaviors accompanying people's speech. While
previous methods are able to generate speech rhythm-synchronized gestures, the semantic …
previous methods are able to generate speech rhythm-synchronized gestures, the semantic …
UX design innovation: Challenges for working with machine learning as a design material
Machine learning (ML) is now a fairly established technology, and user experience (UX)
designers appear regularly to integrate ML services in new apps, devices, and systems …
designers appear regularly to integrate ML services in new apps, devices, and systems …
Embodiment in socially interactive robots
Physical embodiment is a required component for robots that are structurally coupled with
their real-world environments. However, most socially interactive robots do not need to …
their real-world environments. However, most socially interactive robots do not need to …
[PDF][PDF] How people explain action (and autonomous intelligent systems should too)
Abstract To make Autonomous Intelligent Systems (AIS), such as virtual agents and
embodied robots,“explainable” we need to understand how people respond to such systems …
embodied robots,“explainable” we need to understand how people respond to such systems …
A survey on end-user robot programming
As robots interact with a broader range of end-users, end-user robot programming has
helped democratize robot programming by empowering end-users who may not have …
helped democratize robot programming by empowering end-users who may not have …