Approach to support the modeling of workflows by means of unmoderated data collection sessions

A critical component in the design, evaluation and anticipation of human-machine systems is the analysis of Subject Matter Experts' (SME) workflows. Several standard methods, e.g., work-shops, are often used to collect corresponding workflow data (Kirwan & Ainsworth, 1992; Stan-ton et al., 2005). The Process Interviewer (PI) system has been developed to support the model-ing of workflows by SMEs by means of unmoderated data collection sessions (Ley, 2011a). Among other things, the system automatically creates feedback for SMEs in terms of graphical workflow models. This can help SMEs (novice modelers) to get an understanding of process modeling as well as analysts (expert modelers) to get an understanding of the corresponding work domain. In the first part of this paper, the approach of the PI system is described. In the second part, the extent to support SMEs to externalize workflow data is highlighted based on fundamental modeling operations identified by Nielen et al. (2012).