The Complexities of Human Factors in Automation Trust
Abstract
This study explores how organizational culture and human factors shape trust in automation and influence employee engagement, vigilance, and ethical behavior across high-consequence sectors. Through a multi-case analysis of five organizations, healthcare, biosecurity, emergency response, disaster logistics, and critical infrastructure, the research examines how governance documents, operational procedures, and training materials cultivate or corrode trust. The findings demonstrate that trust in automation is a social and organizational construct, not merely a technical outcome. Punitive cultures and opaque communication foster fear, resistance, and technology complacency and overreliance, while psychologically safe environments that emphasize transparency, dialogue, and shared ownership enable balanced, critical synergy driven trust in automation based on a collaborative relationship between people and technology. The study concludes that sustainable trust emerges when organizations institutionalize human-centered governance and engagement in ways that align automation with cultural values and empower employees to question and calibrate system performance. Ultimately, trust in automation depends on reciprocal accountability between humans and technology, grounded in organizational transparency, actionable user feedback mechanisms, and ethical leadership.
Fields of Study & Subjects
Human-Automation Interaction and Safety
Ethics and Social Impacts of AI
Information Systems Theories and Implementation
Publication details
- Journal / source
- Advances in computational intelligence and robotics book series
- Pages
- 77–106
- Publication date
- 18 February 2026
- Language
- EN
- Document type
- Book chapter