Daniel Münter

Generating route instructions with varying levels of detail

In this paper, we present a technique for adaptive generation of personalized route instructions based on the drivers knowledge of particular route sections. We evaluated the mechanism with two empirical studies, both attesting significant preference for the adaptively generated presentations over an established online service (Google Maps).

Service-based recommendations for context-aware navigation support

The whole automotive industry is changing rapidly as fossil fuel is getting more expensive, pollution is a serious problem, and people often just expect more from their vehicle than “only” getting them from A to B. Electric mobility is a promising answer for the first two questions. Unfortunately, it comes with some serious drawbacks: Charging a battery takes up to several hours (compared to a few minutes for refueling) while cruising ranges are short. As a result, intelligent routing systems will be even more important in the future, in order to avoid long and boring waiting times at charging points (which might perhaps also be unnecessarily expensive). If the driver has to wait for such a long time, he should be guided to a charging station where he can find attractive services and shopping or entertainment opportunities matching his interests – ideally, at a charging point with reasonable prices. Apart from electric mobility, such navigation solutions can be attractive in many other scenarios, if providing added-value services. For instance could they recommend certain hotels along the route, music matching the driver’s taste or simply a garage with certain bargains such as reduced winter tyres, if the old ones are used up.

Adaptive Routenbeschreibungen für Navigationssysteme

Zusammenfassung In diesem Beitrag stellen wir ein Verfahren zur adaptiven Präsentation für Navigationsgeräte vor, welche auf semantischen Modellen basiert. Dabei reichern wir herkömmliche Routenbeschreibungen mit semantischen Informationen an und präsentieren dem Fahrer lediglich diejenigen Routenanweisungen, an denen er wirklich interessiert ist und blenden überfl üssige Anweisungen aus. Abstract In this paper, we introduce a technique for adaptive presentation of itineraries in navigation systems based on semantic models. We enrich routes with semantic information and display only those waypoints to the driver that he is supposed to be interested in, hiding information that will most probably be distracting.