With the growing focus on business analytics and data-driven decision-making, there is a
greater need for humans to interact effectively with data. We propose that presenting data to …

Purpose The discourse on the human-centricity of AI at work needs contextualization. The
aim of this study is to distinguish prevalent criteria of human-centricity for AI applications in …

When designing Machine Learning (ML) enabled solutions, designers often need to
simulate ML behavior through the Wizard of Oz (WoZ) approach to test the user experience …

Across the globe, the demand over a good quality healthcare is in the rise. Patients require
rigorous treatments and thorough followups. Meanwhile, the advent of artificial intelligence …

Machine Learning (ML) systems have been widely used in recent years in different areas of
human knowledge. However, to achieve highly accurate ML systems, it is necessary to train …

In order to fully harness the potential of machine learning, it is crucial to establish a system
that renders the field more accessible and less daunting for individuals who may not …

Without realising it, people unconsciously mimic each other's postures, gestures and
mannerisms. This 'chameleon effect'is thought to play an important role in creating affiliation …

In the digital workspace, artificial intelligence (AI) and machine learning (ML) technologies
have entered the daily activities of a wide range of professions (Brynjolfsson & McAfee …

Building effective classifiers requires providing the modeling algorithms with information
about the training data and modeling goals in order to create a model that makes proper …

Interactive Machine Learning (IML) can enable intelligent systems to interactively learn from
their end-users, and is quickly becoming more and more relevant to many application …