Daniel Münter (former member)

During his studies in Computer Science, Daniel already worked as a programmer (for instance at a financial institution in Düsseldorf), where he acquired a solid understanding in the development of user interfaces as well as the visualization of large information spaces and complex process flows. After receiving a diploma degree from the University of Duisburg-Essen and gathering experiences as software developer in an Internet agency in Cologne, Daniel joined the Interactive Systems Group in 2010.

In the ColognE-mobil project part I, he was responsible for developing innovative navigation solutions and integrated mobility concepts for electric vehicles. Besides that, Daniel was the co-founder of a series of workshops on Human Service Interaction held in conjunction with two of Germany’s major computer science conferences.

His special research interest focused on developing intelligent in-vehicle navigation support. Within this context, he investigated the impact of different features of driving situations on the assistance need of the driver, with the aim of providing smart and situation-aware navigation support. Daniel left the group after finishing his phd thesis in 2013.

Thesis

Publications

Improving navigation support by taking care of drivers’ situational needs

Einflussfaktoren für eine situationsgerechte Navigationsunterstützung im Fahrzeug

Service-Based Recommendations for Context-Aware Navigation Support

Playful Crowdsourcing for Energy-Efficient Automotive Navigation

Nutzeradaptive Routenführung in Navigationssystemen

Generating Route Instructions with Varying Levels of Detail

Elektromobilität braucht intelligente Navigation

Adaptive Routenbeschreibungen für Navigationssysteme

Adaptive presentation of itineraries in navigation systems by means of semantic models

Use-Cases zur Validierung generischer Adaptiver Ansätze

Kontextabhängige Empfehlung von Services zur intelligenten Navigationsunterstützung

Automated Generation of a Faceted Navigation Interface Using Semantic Models