The fusion of large language models and robotic systems has introduced a transformative
paradigm in human–robot interaction, offering unparalleled capabilities in natural language …

Engagement is a concept of the utmost importance in human-computer interaction, not only
for informing the design and implementation of interfaces, but also for enabling more …

We present a systematic survey of computational research in humanrobot interaction (HRI)
over the past decade. Computational HRI is the subset of the field that is specifically …

Many problems in vision involve the prediction of a class label for each frame in an
unsegmented sequence. In this paper, we develop a discriminative framework for …

The experience of interacting with a robot has been shown to be very different in comparison
to people's interaction experience with other technologies and artifacts, and often has a …

One key technique people use in conversation and collaboration is conversational repair.
Self-repair is the recognition and attempted correction of one's own mistakes. We investigate …

Engagement is the process by which participants establish, maintain, and end their
perceived connection. Automatic engagement inference is one of the tasks required to …

People use imitation to encourage each other during conversation. We have conducted an
experiment to investigate how imitation by a robot affect people's perceptions of their …

We present the design of the Snackbot, a robot that will deliver snacks in our university
buildings. The robot is intended to provide a useful, continuing service and to serve as a …

Estimating the engagement is critical for human–robot interaction. Engagement measures
typically rely on the dynamics of the social signals exchanged by the partners, especially …