An initial approach towards the implementation of human error identification services for antifragile systems

This paper describes a theoretical approach to implement human error identification services for antifragile systems. The services provide data analysis and maintain a human error database that is fed and used by multiple software systems. Thus, systems take advantage of the shared human error database by integrating its knowledge into their own antifragile strategy to self-adjust data policies and user interface input requirements. This encourages an increased rate of changes in the internal models of the external physical objects and environments that antifragile systems might take into account in their learning process. Initial considerations of human-machine interaction issues that might arise in antifragile systems are discussed.