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Interactive processes are omnipresent in fields dealing with automation of complex technical processes, allowing a wide range of application scenarios of assistance systems to support human operators. However, the definition and description of the interaction strongly depends on the application. The description of Human-Process-Interaction (HPI) in most cases is the key for the development of interaction models leading to a framework for the development of assistance systems. The goal of such assistance systems is to support human operators, or human factors, and thereby improve the considered process in parallel. For the purpose of creating a framework for the development of assistance systems, the Situation-Operator-Model (SOM) approach is applied. The SOM approach is capable of modeling HPI in a net-like structure representing the complex environment (or process) and human interactions. By this formal modeling of HPI for the development of human-centered assistance systems based on the underlying modeled interaction is available. In this contribution illustrative examples of different applications for the proposed approach are given by a cognitive, individualized driver assistance system for lane changing maneuvers, by the assessment of operator decisions in air traffic control as well as the operator supervision in semi-automated production process.

Development of CSCW has been focused on cognitive cooperative agents in recent years. Modeling of human interactions allow the mapping of the human interactions qualitites using agents, supporting Cognitive Technical Systems (CTS). The proposed concept modeling can be used and integrated to the supervision and assistance of Human-Machine-Interactions by supporting the interaction using cognitive-based interfaces for communication and cooperation. The contribution introduces briefly the Situation-Operator-Modeling (SOM) approach theoretically and details on the representations with an applicable algorithm with respect to a special case of HMI: driver-vehicle interactions. The interaction between the human driver and the vehicle can be illustrated with a cyclic loop. Within the rule-based knowledge representation approach operator-specific variables are defined and identified during the interactions. Based on the experimental-based and verified experiences the concept for SOM-based CSCW is briefly developed using similar concepts of task-based HMI-modeling for group and personal assistance.

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