Virtual reality (VR) has been used for training purposes in a wide range of industries, including education, healthcare, and defense. VR allows users to train in a safe and controlled digital environment while being immersed and highly engaged in a …
Given the increasing complexity of many sociotechnical work domains, effective teamwork has become increasingly crucial. While there is evidence that face-to-face communication contributes to effective teamwork, methods for understanding the …
In this paper, we present a novel approach for local exceptionality detection on time series data. This method provides the ability to discover interpretable patterns in the data, which can be used to understand and predict the progression of a time …
We examine the extent to which task engagement, social engagement, and social attitude in child-robot interaction can be predicted on the basis of Facial Action Unit (FAU) intensity. The analyses were based on child-robot and child-child interaction …
Current approaches to the design and delivery of instruction in virtual reality learning environments (VRLEs) draw heavily from traditional instructional strategies and design practices. This is problematic given that these strategies and practices …
Understanding intentions is a complex social-cognitive task for humans, let alone machines. In this paper we discuss how the developing field of Social Signal Processing, and assessing social cues to interpret social signals, may help to develop a …