There has been a recent resurgence in the area of explainable artificial intelligence as
researchers and practitioners seek to provide more transparency to their algorithms. Much of …

Intention prediction has become a relevant field of research in Human-Machine and Human-
Robot Interaction. Indeed, any artificial system (co)-operating with and along humans …

We propose a new research framework by which the nascent discipline of human-AI
teaming can be explored within experimental environments in preparation for transferal to …

Explainable Artificial Intelligence (XAI) systems need to include an explanation model to
communicate the internal decisions, behaviours and actions to the interacting humans …

Proper calibration of human reliance on AI is fundamental to achieving complementary
performance in AI-assisted human decision-making. Most previous works focused on …

With the approaching goal of having robots collaborate in shared human-robot
environments, navigation in this context becomes both crucial and desirable. Recent …

Human gait data have traditionally been recorded in controlled laboratory environments
focusing on single aspects in isolation. In contrast, the database presented here provides …

Intelligent suggestion techniques can enable low-friction selection-based input within virtual
or augmented reality (VR/AR) systems. Such techniques leverage probability estimates from …

Creating or arranging objects at runtime is needed in many virtual reality applications, but
such changes are noticed when they occur inside the user's field of view. We present Mise …

Goal Recognition is the task of inferring an agent's goal, from a set of hypotheses, given a
model of the environment dynamic, and a sequence of observations of such agent's …