Human Behavior, Goals and Model-Driven Software Engineering for Assistive Systems

Assistive systems might reason about human behavior and specific actions to be able to assist human activities in everyday life or working situations. It is a challenge to create an adaptive, unobtrusive system with high accuracy of supporting actions. Previous work assumes that either a concrete goal is preset for a whole support application, or is chosen from a finite set of goals by the user or is calculated over a finite set of goals by heuristic algorithms. This novel directions paper discusses ideas to reduce the solution space for assistive systems by using observations of human behavior together with domain-specific and general knowledge. We discuss especially challenges for creating goal models, how to combine them with other existing models, and how to use them in model-based software engineering approaches with automatic code generation. A concrete realization of these ideas enables a variety of design decisions regarding modeling languages, the interplay of different languages, and how to handle goals at run-time.

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