Abstract Machine learning (ML) pervades an increasing number of academic disciplines and
industries. Its impact is profound, and several fields have been fundamentally altered by it …

Background Traditional approaches to safety management in health care have focused
primarily on counting errors and understanding how things go wrong. Resilient Health Care …

Human reliability analysis (HRA) has drawn increasing attention from both academic and
industry sectors to proactively enhance system safety in recent decades. HRA mainly …

The performance of sociotechnical elements varies owing to a wide range of endogenous
and exogenous influencing factors. These are called uncoupled variability as per Safety-II …

The paper proposes a heuristic-based prospective method to discover possible conflicts of
shared control between humans and autonomous systems. This method adapts the triplet …

This paper discusses concepts and tools for joint human and cyber-physical-systems
analysis and control in the view of increasing the whole system resilience. More precisely, it …

Much of the prior research on unsafe behaviour has not fully considered the subjective
intentionality of behaviour. We attempted to challenge this practice by distinguishing …

This paper studies the synchronization between dynamic events with heartbeats and its
impact on non-conscious errors in the control of dynamic events. It proposes a methodology …

The paper presents the new concept on human–systems inclusion for designing, analyzing
or evaluating human–machine systems and applied it to two case studies on rail flow …

This paper discusses on the cooperation and the learning processes to increase the
autonomy of a human–machine system or an artificial or human agent. The autonomy is …