A performance model of system delay and user strategy selection
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Human factors design criteria in man-computer interaction
ACM '74 Proceedings of the 1974 annual conference - Volume 1
Closing the loop: modelling action, perception and information
AVI '96 Proceedings of the workshop on Advanced visual interfaces
Designing the User Interface: Strategies for Effective Human-Computer Interaction (4th Edition)
Designing the User Interface: Strategies for Effective Human-Computer Interaction (4th Edition)
Multimodal Person Recognition for Human-Vehicle Interaction
IEEE MultiMedia
Communication and interaction strategies in automotive adaptive interfaces
Cognition, Technology and Work
Multimodal interfaces for in-vehicle applications
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Multi-modal person recognition for vehicular applications
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Heart on the road: HRV analysis for monitoring a driver's affective state
Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Effect of Proactive Braking on Traffic Flow and Road Throughput
DS-RT '09 Proceedings of the 2009 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications
Multimodal advanced driver assistance systems: an overview
Proceedings of the 2nd international workshop on Multimodal interfaces for automotive applications
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Embedded systems technologies and advances in micro electronics have accelerated the evolution of driver assistance systems towards more driving safety, comfort, entertainment and wayfinding. With the technological and quality progress, however, also goes the growing of interaction complexity, information overload, and intricate interface designs. Assessing interaction designs for in-car assistance services is an emerging and vibrant field of research. To avoid situations of possibly fatal danger when assessing driver assistance services in real driving situations, we propose trace-driven simulation to steer the experiments with users in a automotive driving simulator. Based on our own developments of driver assistance systems involving the sense of touch, i.e. exploiting haptics as a communication channel in vehicle-to-driver interactions, we demonstrate how pre-recorded traces of driving situations can control user studies. Our experiments show, that simulated driving journeys is a viable alternative to the more hazardous "on-the-road" user studies. With respect to haptics as an additional channel of communication we find that vibro-tactile stimuli are a promising means to raise driver attention when the visual and auditive channels fail due to overload.