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 preferred navigation sequence. The interface learns a user's navigation patterns based on accumulated navigation sequences. The navigation sequence is reconfigured by the user model and a clue. The symbol matching is performed in compliance with the user's selection and the navigation sequence is recommended to the user. Experimental results showed that reconfiguring the navigation sequence and switches reduced navigation reaction time.
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