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Drivers are distracted by the large amount of information displayed, which raises the driver's visual and cognitive workload. Conventional hierarchical searching, which invariably requires time even for those familiar with systems, is another factor. Our proposed user-adaptive interface consists of user modeling using a hidden Markov model (HMM) and symbol matching which is the reconfiguration of...
A user-adaptive interface for in-vehicle information systems, consisting of visual display and tactile display, is proposed to release visual workload inducted by gaze and operation as well as to improve operating feeling. High-frequency sequence is recommended to the user by user modeling, which is trained by user's navigation data. In addition, button switches corresponding to the sequence are reconfigured...
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