Personality has been identified as a vital factor in understanding the quality of human–robot
interactions. Despite this the research in this area remains fragmented and lacks a coherent …

Crowd behaviour analysis is an emerging research area. Due to its novelty, a proper
taxonomy to organise its different sub-tasks is still missing. This paper proposes a taxonomic …

This article presents a survey of literature in the area of Human–Robot Interaction (HRI),
specifically on systems containing more than two agents (ie, having multiple humans and/or …

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 …

Understanding 3d human interactions is fundamental for fine grained scene analysis and
behavioural modeling. However, most of the existing models focus on analyzing a single …

Human personality has been identified as a predictor of robot acceptance in the human–
robot interaction (HRI) literature. Despite this, the HRI literature has provided mixed support …

This article proposes to recognise the true (self-reported) personality traits from the target
subject's cognition simulated from facial reactions. This approach builds on the following two …

During occupational therapy for children with autism, it is often necessary to elicit and
maintain engagement for the children to benefit from the session. Recently, social robots …

In this paper we introduce a novel dataset, the Multimodal Human-Human-Robot-
Interactions (MHHRI) dataset, with the aim of studying personality simultaneously in human …

Social robots are increasingly being used as a mediator between a therapist and a child in
autism therapy studies. In this context, most behavioural interventions are typically short …