Multimodal machine learning (MML) is a tempting multidisciplinary research area where
heterogeneous data from multiple modalities and machine learning (ML) are combined to …

This article surveys reinforcement learning approaches in social robotics. Reinforcement
learning is a framework for decision-making problems in which an agent interacts through …

The Internet of Musical Things (IoMusT) is an emerging research field positioned at the
intersection of Internet of Things, new interfaces for musical expression, ubiquitous music …

Technological advancements allow the automation of every part of job interviews
(information acquisition, information analysis, action selection, action implementation) …

This chapter is an introduction to the use of multiple modalities of learning trace data to
better understand and feedback learning processes that occur both in digital and face-to …

Measurements of physiological parameters provide an objective, often non-intrusive, and (at
least semi-) automatic evaluation and utilization of user behavior. In addition, specific …

The intersection between music and Extended Reality (XR) has grown significantly over the
past twenty years, amounting to an established area of research today. The use of XR …

Emotion detection has become one of the most important aspects to consider in any project
related to Affective Computing. Due to the almost endless applications of this new discipline …

Digital monitoring of physiological signals can allow computer systems to adapt
unobtrusively to users, so as to enhance personalised 'smart'interactions. In recent years …

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 …