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

Sangho Kim, Kosuke Sekiyama, Toshio Fukuda

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationRO-MAN 2009 - 18th IEEE International Symposium on Robot and Human Interactive
Pages415-420
Number of pages6
DOIs
StatePublished - 2009
Externally publishedYes
Event18th IEEE International Symposium on Robot and Human Interactive, RO-MAN 2009 - Toyama, Japan
Duration: Sep 27 2009Oct 2 2009

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Conference

Conference18th IEEE International Symposium on Robot and Human Interactive, RO-MAN 2009
Country/TerritoryJapan
CityToyama
Period09/27/0910/2/09

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