Non-verbal social human behavior forecasting has increasingly attracted the interest of the
research community in recent years. Its direct applications to human-robot interaction and …

Protective behavior exhibited by people with chronic pain (CP) during physical activities is
very informative to understanding their physical and emotional states. Existing automatic …

The very first moments of co-presence, during which a robot appears to a participant for the
first time, are often “off-the-record” in the data collected from human-robot experiments …

Politeness and embodiment are pivotal elements in human-agent interactions. While many
previous works advocate the positive role of embodiment in enhancing these interactions, it …

To facilitate HRI's transition from dyadic to group interaction, new methods are needed for
robots to sense and understand team behavior. We introduce the Robot-Centric Group …

The emergency department (ED) is a safety-critical environment in which healthcare workers
(HCWs) are overburdened, overworked, and have limited resources, especially during the …

To date, endowing robots with an ability to assess social appropriateness of their actions
has not been possible. This has been mainly due to (i) the lack of relevant and labelled data …

Robots that work close to humans need to understand and use social cues to act in a
socially acceptable manner. Social cues are a form of communication (ie, information flow) …

Smoothing orientation data is a fundamental task in different fields of research. Different
methods of smoothing time series in quaternion algebras have been described in the …

We present the Social Group Interactions (SoGrIn) dataset; a dataset which captures non-
verbal signals of groups as they complete socially collaborative and formation-provoking …