User-adaptive interface based on symbol matching for in-vehicle information systems

Sangho Kim, Kosuke Sekiyama, Toshio Fukuda

Research output: Contribution to journalArticlepeer-review

Abstract

The poor operation for information systems such as car navigation systems may result in the visual workload. To reduce the visual workload produced by information systems and their use during vehicle operation, we propose a user-adaptive vehicle information interface with a reconfigured navigation sequence. We propose the information assistance interface which recommends a preferred content in short time without following the hierarchical steps because of the hierarchical structure of most car navigation systems. Our proposed user-adaptive interface consists of user modeling using a hidden Markov model (HMM) and symbol matching which is the reconfiguration of a 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.

Original languageEnglish
Pages (from-to)2253-2258
Number of pages6
JournalNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume75
Issue number756 PART C
DOIs
StatePublished - 2009
Externally publishedYes

Keywords

  • Hidden Markov model (HMM)
  • Symbol matching
  • User-adaptive interface

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