Multimodal interface for driving-workload optimization

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Abstract

Today, driving convenience has increased greatly owing to the availability of various telematics devices developed recently. However, this convenience often comes at the cost of driving safety. With the aim of achieving a balance between them, we propose a multi-modal interface for optimizing driving workload and describe an efficient design for the interface. To demonstrate the effectiveness of the interface, we use it in a simulator environment resembling real driving situations, designed to allow the interface to detect and analyze states of both the driver and the vehicle in real time. The proposed interface transfers information by optimizing the driving workload such that it within a range appropriate in view of driver safety. In the future, we intend to demonstrate the feasibility of the proposed interface through multiple experiments. © 2011 Springer-Verlag.

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APA

Park, H., Choi, J., Kwon, H. J., & Kim, K. H. (2011). Multimodal interface for driving-workload optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6763 LNCS, pp. 452–461). https://doi.org/10.1007/978-3-642-21616-9_51

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