Engaging users is a priority for designers of products and services of every kind. The need to
understand users' experiences has motivated a focus on user engagement across computer …

Affect detection is an important pattern recognition problem that has inspired researchers
from several areas. The field is in need of a systematic review due to the recent influx of …

The benefit of social robots to support child learning in an educational context over an
extended period of time is evaluated. Specifically, the effect of personalisation and …

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 …

Serious Games represent an acknowledged potential for instruction, because they are able
to strongly motivate learners. They can also provide immersive environments where …

The design of an affect recognition system for socially perceptive robots relies on
representative data: human-robot interaction in naturalistic settings requires an affect …

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 …

In recent years, there has been a growing research interest towards exploring the benefit of
Child–Robot Interaction for educational purposes through the use of social robotics. Despite …

We present a novel multi-lingual database of natural dyadic novice-expert interactions,
named No**, featuring screen-mediated dyadic human interactions in the context of …

Background Recognizing learners' engagement during learning processes is important for
providing personalized pedagogical support and preventing dropouts. As learning …