Speech datasets are crucial for training Speech Language Technologies (SLT); however,
the lack of diversity of the underlying training data can lead to serious limitations in building …

The visual focus of attention (VFOA) has been recognized as a prominent conversational
cue. We are interested in estimating and tracking the VFOAs associated with multi-party …

In this paper, we consider engagement in the context of Human-Robot Interaction (HRI).
Previous studies in HRI relate engagement to emotion and attention independently from the …

We introduce a new conversational Human-Robot-Interaction (HRI) dataset with a real-
behaving robot inducing interactive behavior with and between humans. Our scenario …

In this paper, we address the problematic of automatic detection of engagement in multi-
party Human-Robot Interaction scenarios. The aim is to investigate to what extent are we …

Communicating shapes our social word. For a robot to be considered social and being
consequently integrated in our social environment it is fundamental to understand some of …

We develop using person gaze direction for scene understanding. In particular, we use
intersecting gazes to learn 3D locations that people tend to look at, which is analogous to …

Inferring human operators' actions in shared collaborative tasks plays a crucial role in
enhancing the cognitive capabilities of industrial robots. In all these incipient collaborative …

The addressee estimation (understanding to whom somebody is talking) is a fundamental
task for human activity recognition in multi-party conversation scenarios. Specifically, in the …

Modeling the temporal behavior of data is of primordial importance in many scientific and
engineering fields. Baseline methods assume that both the dynamic and observation …