User-adaptive interface based on mental model and symbol matching

Sangho Kim; Kosuke Sekiyama; Toshio Fukuda

doi:10.1109/AIM.2009.5229972

User-adaptive interface based on mental model and symbol matching

Sangho Kim, Kosuke Sekiyama, Toshio Fukuda

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

We design a user-adaptive interface that is adapted to a driver considering his/her personal differences. This paper deals with the interactive adaptation interface based on probability model of hidden Markov model and symbol matching for in-vehicle information systems. This interface builds a user's navigation pattern model by navigation data and recommends symbols or clues which are affected by the user model. User's intention is inferred by the interactive behavior between the driver and the interface which is symbol matching. As an application example, we present a car navigation system and experiments were performed to confirm the effectiveness on the reduction of the response time.

Original language	English
Title of host publication	2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009
Pages	457-462
Number of pages	6
DOIs	https://doi.org/10.1109/AIM.2009.5229972
State	Published - 2009
Externally published	Yes
Event	2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009 - Singapore, Singapore Duration: Jul 14 2009 → Jul 17 2009

Publication series

Name	IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

Conference

Conference	2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009
Country/Territory	Singapore
City	Singapore
Period	07/14/09 → 07/17/09

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10.1109/AIM.2009.5229972

Cite this

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title = "User-adaptive interface based on mental model and symbol matching",

abstract = "We design a user-adaptive interface that is adapted to a driver considering his/her personal differences. This paper deals with the interactive adaptation interface based on probability model of hidden Markov model and symbol matching for in-vehicle information systems. This interface builds a user's navigation pattern model by navigation data and recommends symbols or clues which are affected by the user model. User's intention is inferred by the interactive behavior between the driver and the interface which is symbol matching. As an application example, we present a car navigation system and experiments were performed to confirm the effectiveness on the reduction of the response time.",

author = "Sangho Kim and Kosuke Sekiyama and Toshio Fukuda",

year = "2009",

doi = "10.1109/AIM.2009.5229972",

language = "English",

isbn = "9781424428533",

series = "IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM",

pages = "457--462",

booktitle = "2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009",

note = "2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009 ; Conference date: 14-07-2009 Through 17-07-2009",

}

Kim, S, Sekiyama, K & Fukuda, T 2009, User-adaptive interface based on mental model and symbol matching. in 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009., 5229972, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, pp. 457-462, 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009, Singapore, Singapore, 07/14/09. https://doi.org/10.1109/AIM.2009.5229972

User-adaptive interface based on mental model and symbol matching. / Kim, Sangho; Sekiyama, Kosuke; Fukuda, Toshio.
2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009. 2009. p. 457-462 5229972 (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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User-adaptive interface based on mental model and symbol matching

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