The context toolkit: aiding the development of context-enabled applications
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
ContextPhone: A Prototyping Platform for Context-Aware Mobile Applications
IEEE Pervasive Computing
Plastic: a metaphor for integrated technologies
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Human-Computer Interaction
Enabling micro-entertainment in vehicles based on context information
Proceedings of the 2nd International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Are we there yet? a probing study to inform design for the rear seat of family cars
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part II
CarMA: towards personalized automotive tuning
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
The wheels are turning: content rotation on steering wheel displays
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Automobiles are environments rich of data that have a high potential to be used as input for research and design. Various difficulties accessing car data exclude HCI experts from making use of this data in novel interfaces and research projects. We present the CarDaT (Car Data Toolkit) that uses Android smartphones to provide multidimensional sensor data in a minimal invasive way. CarDaT combines smartphone sensor data with data sources like OBD-II as well as other easily available remote data (e.g., weather). This data and the provided connectivity enable researchers to gather data on human behavior and designers to create novel context-aware interface solutions. Thus, CarDaT offers a low-cost, manufacturer independent and scalable in-car agile prototyping and research environment. In this paper we describe how we used smartphones in the CarDaT as tools for automotive research and design. We demonstrate potentials of CarDaT by describing three applications that we developed with the toolkit, namely rear seat games, an experience sampling study, as well as an experiment using car data in a driver distraction study to inform design.