Model Interpretation for Executable Observation Specifications

Observation functionality integrated into interactive products can help companies identifying current consumer requirements and expectations. As these needs can change rapidly, detailed information about product usage that comes from habitual interaction is crucial to evaluate product acceptance and relevance. We explore how products can be extended with observation functionality that satisfies the information needs of multi-disciplinary experts in the development team. In the process of product evaluation, information requirements are bound to change, and so is the observation behavior. Our approach addresses this by integrating observation functionality into products which can be adapted to current information needs. This paper presents a novel way to remotely configure products in the field by using high-level models, graphical observation specifications, that are interpreted by a runtime environment built into the products in the field. An industrial case-study shows the applicability of the approach. This work is part of ongoing development aiming at a generic observation integration methodology.