The proliferation of smart devices - including mobile and wearable solutions - in daily life presents unprecedented opportunities for unobtrusive, continuous assessment of human conditions, especially about health and wellbeing, and for enacting human-machine co-adaptation features, which improve user experience and system performance. Considering such a context, this talk explores how neuroergonomics - the study of the interactions between humans and other elements of a system in terms of the neural processes of the first and real-world tasks involving the second - can leverage quantitative information - e.g., digital biomarkers - extracted from the activities of solutions like smartphones, games, or robots. Moving beyond traditional laboratory paradigms, this talk discusses methodological frameworks for capturing physio-motor signals "in the wild" - especially pondering the applications of robotic-digital systems - and for addressing challenges such as the ecological validity and the use of consumer technologies as powerful tools for digital health and precision medicine.