You can touch, but you can't look: interacting with in-vehicle systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Writing to your car: handwritten text input while driving
CHI '09 Extended Abstracts on Human Factors in Computing Systems
pieTouch: a direct touch gesture interface for interacting with in-vehicle information systems
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
Acceptance of future persuasive in-car interfaces towards a more economic driving behaviour
Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Driving Automotive User Interface Research
IEEE Pervasive Computing
Taxi-aware map: identifying and predicting vacant taxis in the city
AmI'10 Proceedings of the First international joint conference on Ambient intelligence
This is me: using ambient voice patterns for in-car positioning
AmI'10 Proceedings of the First international joint conference on Ambient intelligence
Gestural interaction on the steering wheel: reducing the visual demand
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Task complexity and user model attributes: an analysis of user model attributes for elderly drivers
ICCHP'12 Proceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part I
Predicting information technology usage in the car: towards a car technology acceptance model
Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
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Driving a car has become a challenge for many people despite the fact that evermore technology is built into vehicles in order to support the driver. Above all, the increasing number of in-vehicle information systems (IVIS) is a main source of driver distraction. The fragmentation of IVIS elements in the cockpit increases the attention demand and cognitive load of the driver. In this paper, we present an approach to integrate most in-car interaction possibilities into a steering wheel, by combining a multi-button row with a single touch in an intelligent steering wheel. We performed an online study (N=301) to investigate the pre-prototype user acceptance of the three different steering wheel modalities (single touch, multi button, combi touch) as well as a lab-based driving simulator study (N=10) to assess the practicability of the single touch interaction. The results of the online study showed that especially the single touch was highly accepted by the participants. The driving simulator study revealed that touch-based interaction on a steering wheel is feasible for low demand tasks in terms of driver distraction. Especially, the single touch embedded into the steering wheel is a promising approach for ambient information in the automotive context.