Human Automation Trust

Human-automation trust research investigates how humans develop confidence in automated systems, focusing on both cognitive (understanding system capabilities) and affective (emotional responses) dimensions. Current studies explore trust's influence on human intervention in autonomous systems, particularly in scenarios with interaction conflicts or automation failures, using methods like virtual reality simulations and analyzing human-AI conversational data. This research is crucial for designing trustworthy AI systems across various applications, from smart homes to autonomous vehicles and manufacturing, ultimately improving human-machine collaboration and safety.