An Adaptive Workflow Architecturefor Digital Assistance Systems

Abstract

Instructional assistance systems for the shop floor need adaptive features to support workers in training situations and everyday performance. Hence, we are working towards instructional systems that provide assistance by conveying knowledge and procedures in an understandable manner adapted to the needs of a specific learner. In this contribution, we present a digital assistance platform based on an adaptive workflow architecture, that is designed to individualize worker assistance. This entails a set of operators to adapt the underlying sequence flow and task instructions expressed as workflow models to individualize the resulting assistive action. We discuss the approach and possible use cases for adaptation in a challenging learning scenario with similar requirements regarding manual activities and procedural learning like in many industrial assembly tasks.