Building trust in the age of human-machine interaction: insights, challenges, and future directions Chauhan et al. 10.3389/frobt.2025.1535082

Abstract

As a component of HRI and like with all human interactions, trust is also an important factor that requires special attention. It is widely accepted that trust in systems is negatively impacted if there is a lack of system transparency or explainability (). Understanding what a robot is doing and how it arrives at its decisions influences trust, too. Explainable AI, or XAI, strives to make the reasoning behind automated systems’ decisions more understandable, which in turn enhances reliance and endorsement (). Human-robot collaboration studies put forward transparency as an important factor fo