The most successful Machine Learning (ML) systems remain complex black boxes to end-
users, and even experts are often unable to understand the rationale behind their decisions …

AI-assisted decision-making that impacts individuals raises critical questions about
transparency and fairness in artificial intelligence (AI). Much research has highlighted the …

Today, intelligent machines interact and collaborate with humans in a way that demands a
greater level of trust between human and machine. A first step toward building intelligent …

Eye-trackers provide continuous information on individuals' gaze behavior. Due to the
increasing popularity of eye-tracking in the information systems (IS) field, we reviewed how …

The rise in artificial intelligence capabilities in autonomy-enabled systems and robotics has
pushed research to address the unique nature of human-autonomy team collaboration. The …

This paper presents the theoretical and practical fundamentals of using physiology sensors
to capture human emotion reactivity in a products or systems engineering context. We aim to …

Knowledge of the mental workload induced by a Web page is essential for improving users'
browsing experience. However, continuously assessing the mental workload during a …

Understanding existing gender differences in the development of computational thinking
skills is increasingly important for gaining valuable insights into bridging the gender gap …

We propose a method to predict user performance based on eye-tracking. The method uses
eye-tracking-based pupillometry to capture pupil diameter data and calculates—based on a …

Driving is essential for many people in developed countries to achieve independence.
Individuals with Autism Spectrum Disorder (ASD), in addition to having social skill deficits …