Researchers are defining new types of interactions between humans and machine learning
algorithms generically called human-in-the-loop machine learning. Depending on who is in …

Interactive Machine Learning (IML) seeks to complement human perception and intelligence
by tightly integrating these strengths with the computational power and speed of computers …

Brain-Controlled Vehicle (BCV) is an already established technology usually designed for
disabled patients. This review focuses on the most relevant topics on brain-controlled …

In human-computer interaction (HCI), there has been a push towards open science, but to
date, this has not happened consistently for HCI research utilizing brain signals due to …

Smart homes have been an active area of research, however despite considerable
investment, they are not yet a reality for end-users. Moreover, there are still accessibility …

We present a computational model of visual search on graphical layouts. It assumes that the
visual system is maximising expected utility when choosing where to fixate next. Three utility …

In this paper we aim to bring some order to the myriad of tools that have emerged in the field
of Artificial Intelligence (AI), focusing on the field of Machine Learning (ML). For this purpose …

Human-centered AI aims to bridge the gap between machine decision-making and human
understanding. However, even for classification tasks where deep neural networks have …

Abstract Current Motor Imagery Brain-Computer Interfaces (MI-BCI) require a lengthy and
monotonous training procedure to train both the system and the user. Considering many …

In the field of HCI, researchers from diverse backgrounds have taken a broad view of
application domains that could benefit from brain signals, both by applying HCI methods to …