The rise of intelligent systems and smart spaces has opened up new opportunities for
human–machine collaborations. Interactive Machine Learning (IML) contribute to fostering …

Although machine learning is becoming commonly used in today's software, there has been
little research into how end users might interact with machine learning systems, beyond …

Interactive machine learning (IML) is a learning process in which a user interacts with a
system to iteratively define and optimise a model. Although recent years have illustrated the …

Intelligent systems that learn interactively from their end-users are quickly becoming
widespread. Until recently, this progress has been fueled mostly by advances in machine …

Machine learning is one of the most important and successful techniques in contemporary
computer science. Although it can be applied to myriad problems of human interest …

Opportunities for AI and machine learning (ML) are vast in current interactive systems
development. However, comparatively little is known about how functionality for the system …

Abstract Artificial Intelligence (AI) and Human Computer Interaction (HCI) often intersect
under the purview of different technologies in a plethora of application areas, wherein it …

The rapid evolution of Internet of Things (IoT) technologies, with ever more profound
implications for humans and societies, has triggered visions and initiatives to re-align the …

Machine learning (ML) promises data-driven insights and solutions for people from all walks
of life, but the skill of crafting these solutions is possessed by only a few. Emerging research …

More and more frequently, digital applications make use of Artificial Intelligence (AI)
capabilities to provide advanced features; on the other hand, human-in-the-loop approaches …