The dazzling promises of AI systems to augment humans in various tasks hinge on whether
humans can appropriately rely on them. Recent research has shown that appropriate …

Researchers have developed a variety of approaches to evaluate explainable artificial
intelligence (XAI) systems using human–computer interaction (HCI) user‐centered …

Large Language Models (LLMs) are increasingly used for accessing information on the web.
Their truthfulness and factuality are thus of great interest. To help users make the right …

As misinformation increasingly proliferates on social media platforms, it has become crucial
to explore how to best convey automated news credibility assessments to end-users, and …

Explainable artificial intelligence (XAI) methods are being proposed to help interpret and
understand how AI systems reach specific predictions. Inspired by prior work on …

With the integration of AI systems into our daily lives, human-AI collaboration has become
increasingly prevalent. Prior work in this realm has primarily explored the effectiveness and …

Leveraging Artificial Intelligence (AI) in decision support systems has disproportionately
focused on technological advancements, often overlooking the alignment between …

Abstract Concepts are an important construct in semantics, based on which humans
understand the world with various levels of abstraction. With the recent advances in …

Human-AI collaborative decision-making can achieve better outcomes than either party
individually. The success of this collaboration can depend on whether the human decision …

While existing literature has explored and revealed several insights pertaining to the role of
human factors (eg, prior experience, domain knowledge) and attributes of AI systems (eg …