Personalized driver assistence
Today, we are used to portable computers and mobile phones knowing and respecting our preferences, and behave appropriately and intelligently in each situation. In the vehicle, the possibilities for personalization are still only utilized to a small extent, even though they offer improved efficiency, increased comfort, support for older or impaired users, and even contribute to driving safety. Moreover, a car is often shared by multiple people (in particular in case of car rental or car sharing facilities), including passengers.
Some application scenarios related to personalization that the Automotive IUI group is currently working on or has been working on are:
- An obstacle warning ADAS that displays warnings depending on the cognitive load
- A user-adaptive parking assistant, which suggest different parking options based on certain user characteristics
- A version of the SIM-td system for color-blind and vision-impaired users
To implement personalization using adaptive systems, we offer two key components:
- a situation-adaptive dialog platform (see multimodal interaction) that can model user and context adaptive features
- the knowledge component KAPcom (Knowledge Management, Adaptation and Personalization Component), which can aggregate and maintain structured knowledge and sensors data, and share it between applications – similar to a middleware, but also across vehicle boundaries. It employs a reference ontology (Automotive Ontology) that has been steadily improved and extended in various projects.