Measuring Cognitive Workload in Non-military Scenarios Criteria for Sensor Technologies
FAC '09 Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009
Attuning in-car user interfaces to the momentary cognitive load
FAC'07 Proceedings of the 3rd international conference on Foundations of augmented cognition
Unobtrusive multimodal emotion detection in adaptive interfaces: speech and facial expressions
FAC'07 Proceedings of the 3rd international conference on Foundations of augmented cognition
This is me: using ambient voice patterns for in-car positioning
AmI'10 Proceedings of the First international joint conference on Ambient intelligence
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The automotive domain is an excellent domain for investigating augmented cognition methods, and one of the domains that can provide the applications. We developed, applied and tested indirect (or derived) measures to estimate driver state risks, validated by direct state-sensing methods, with major European vehicle manufacturers, suppliers and research institutes in the project AIDE (Adaptive Integrated Driver-vehicle InterfacE). The project developed an interface with the driver that integrates different advanced driver assistant systems and in-vehicle information systems and adapted the interface to different driver or traffic conditions. This paper presents an overview of the AIDE project and will then focus on the adaptation aspect of AIDE. Information presented to the driver could be adapted on basis of environmental conditions (weather and traffic), and on basis of assessed workload, distraction, and physical condition of the driver. The adaptation of how information is presented to the driver or the timing of when information is presented to the driver is of importance. Adapting information, however, also results in systems that are less transparent to the driver.