Integrating artificial intelligence (AI) into human teams, forming human-AI teams (HATs), is a
rapidly evolving field. This overview examines the complexities of team constellations and …

This study conducts a bibliometric analysis of the evolution of ethics, transparency, and
explainability in generative Artificial Intelligence (AI) within decision− making systems from …

Trust has been recognized as a central variable to explain the resistance to using automated
systems (under-trust) and the overreliance on automated systems (over-trust). To achieve …

Although the potentialities of artificial intelligence (AI) are motivating its fast integration in
organizations, our knowledge on how to capture organizational value out of these …

Intelligent systems are increasingly entering the workplace, gradually moving away from
technologies supporting work processes to artificially intelligent (AI) agents becoming team …

As the world evolves, human-AI teams (HAT) have become increasingly more capable in
their ability to complete task objectives. Due to this rising importance, it has become …

The success of human-AI teams (HATs) requires humans to work with AI teammates in
trustful ways over a certain time period. However, how trust evolves and changes …

With the expansive growth of AI's capabilities in recent years, researchers have been tasked
with develo** and improving human-centered AI collaborations, necessitating the creation …

Background Post-stroke fatigue (PSF) is a ubiquitous and overwhelming symptom for most
stroke survivors. However, there are no effective management strategies for PSF, which is …

The success of human-AI teams (HATs) requires humans to work with AI teammates in
trustful ways. However, trust does not exist in a vacuum but forms through and can be …