Recognition of Paper-Based Conceptual Models Captured Under Uncontrolled Conditions

摘要: Today, modeling and subsequent digital model representations are essential constituents in collaborative endeavors on organizational change. Once created, models need to be digitized for shared stakeholder understanding further processing. Whenever paper serves as carrier medium, it is likely disrupt processing, elicitation, modeling. While environments support transformation processes from its very beginning, the necessary technical infrastructure still might hamper situated capturing of models. Hence, this contribution aims reduce sophisticated components by enabling stakeholders capture their paper-based a situation-sensitive way. We present system that enables with mundane means end users under uncontrolled conditions. describe developed recognition these embed mixed-modality workflow supported tabletop interfacing web platform As our empirical evidence demonstrates, approach both error-tolerant hand-drawn conceptual individual users. Moreover, can integrated more IT-based tools