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The document provides a taxonomy for adaptive in-vehicle information systems that interpret and adapt to defined context parameters. Adaptive systems compared to non-adaptive systems allow that functions in systems change according to learned parameters. The taxonomy includes five levels ranging from no adaptation of a system (Level 0) to adaptation to interpreted user and context factors (Level 4). Adaptive systems can be classified according to the levels and more than one level can be applied to one system. The document provides definitions of the five levels of adaptation for in-vehicle information systems. The taxonomy explains system adaptation in a consistent and coherent manner. In-vehicle information systems refer to all systems in road vehicles that are not related to the primary driving task. I.e. the levels of adaptation relate neither to ADAS, nor to automated driving functions. The document provides examples for systems in order to illustrate the application of the taxonomy, while the concrete technical realization of the systems themselves is out of scope. Additionally, even though the levels of adaptation do consider driver monitoring and driver state detection as necessary input parameter at a certain level, considerations on the technical implementation or validation of such systems are out of scope.
The document provides a taxonomy describing the level of adaptation of in-vehicle information systems including definitions for each level of adaptation, HMI implications and quality expectations in terms of human factors requirements. Standardizing the levels of adaptation of in-vehicle information systems serves several purposes:
- Providing a useful framework for the specification of adaptive in-vehicle systems and the technical differentiation of the levels.
- Providing clarity and stability in communications on the topic of adaptive in-vehicle systems.
- Reducing risks of blackbox technology solutions for the OEM and vehicle user
- Avoiding misunderstandings and deviating expectations between development partners of adaptive in-vehicle information systems.
- Avoiding unnecessary effort, double work and costs in the development and evaluation of adaptive invehicle information systems.
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