User-Adaptive Reconfigurable Interface for In-Vehicle Information Systems

Sangho Kim; Kosuke Sekiyama; Toshio Fukuda

doi:10.20965/jrm.2009.p0524

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JRM Vol.21 No.4 pp. 524-532

doi: 10.20965/jrm.2009.p0524

(2009)

Paper:

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User-Adaptive Reconfigurable Interface for In-Vehicle Information Systems

Sangho Kim, Kosuke Sekiyama, and Toshio Fukuda

Department of Micro-Nano Systems Engineering, Nagoya University
1 Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan

Received:

October 2, 2008

Accepted:

January 9, 2009

Published:

August 20, 2009

Keywords:

user-adaptive interface, reconfigurable keypad, HMM-based

Abstract

To reduce the visual workload produced by information systems and their use during vehicle operation, we propose a user-adaptive, reconfigurable vehicle information interface with a reconfigured navigation sequence and reshaped operating switches (buttons). Our proposed user-adaptive interface consists of user modeling using a hidden Markov model (HMM) and reconfiguration of a preferred navigation sequence. The interface learns a user's navigation patterns based on accumulated navigation sequences. The navigation sequence with the highest likelihood is recommended as preferred among possible sequences, and the navigation sequence is reconfigured omitting intermediate steps. The reconfigurable keypad we propose reflects personal differences because information is customized through the physical reconfiguration of switches corresponding to recommended contents. Information is displayed tactilely and visually together through tactile and visual displays. To analyze the effect of navigation sequence and switch reconfiguration, we conducted experiments using two examples. Experimental results showed that reconfiguring the navigation sequence and switches reduced navigation reaction time.

Cite this article as:

S. Kim, K. Sekiyama, and T. Fukuda, “User-Adaptive Reconfigurable Interface for In-Vehicle Information Systems,” J. Robot. Mechatron., Vol.21 No.4, pp. 524-532, 2009.

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References

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[12] S. Kim, K. Sekiyama, and T. Fukuda, “Pattern Adaptive and Finger Image-guided Keypad Interface for In-vehicle Information Systems,” Int. Journal on Smart Sensing and Intelligent Systems, Vol.1, No.3, pp. 572-591, 2008.
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[18] M. Shimojo, M. Shinohara, and Y. Fukui, “Human Shape Recognition Performance for 3D Tactile Display,” IEEE Transactions on System, Man and Cybernetics, Part A: Systems and Humans. Vol.29, No.6, pp. 637-644, 1999.

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] National Policy Agency of Japan, “Statistics of Traffic Accident Caused by Operating Car Navigation and Cellular Phone,”
http://www.npa.go.jp/ comment/result/ koutsuukikaku2/honbun/betu06.pdf (in Japanese).

[2] [2] O. Carsten and L. Nilsson, “Safety Assessment of Driver Assistance Systems,” European Journal of Transport and Infrastructure Research, Vol.1, No.3, pp. 225-243, 2001.

[3] [3] Japan Automobile Manufacturers Association Inc., “Traffic Accident Caused by Operating Car Navigation,”
http://anzen-unten.com/home/hint/c102.html (in Japanese).

[4] [4] Y. Liu, “Comparative Study of the Effects of Auditory, Visual and Multimodality Displays on Driver's Performance in Advanced Traveller Information Systems,” Ergonomics, Vol.44, No.4, pp. 425-442, 2001.

[5] [5] G. Costagliola, S. Marino, F. Ferrcuci, G. Oliviero, U. Montemurro, and A. Paliott, “Handy — A New Interaction Device for Vehicular Information Systems,” Proc. of Mobile HCI 2004, Vol.3160, No.1, pp. 264-275, 2004.

[6] [6] G. Burnett, “Ubiquitous Computing within Cars: Designing Controls for Non-visual Use,” Int. Journal of Human-Computer Studies, Vol.55, pp. 521-531, 2001.

[7] [7] T. Dingus and M. Hulse, “Some Human Factors Design Issues and Recommendations for Automobile Navigation Information Systems,” Transportation Research, Part C, Vol.1, No.2, pp. 119-131, 1993.

[8] [8] H. Iwasaki, N. Mizuno, K. Hara, and Y. Motomura, “Personalized Recommendation of Content using Bayesian Networks for a Car Navigation System,” Technical Report of IEICE, NC2004-55, pp. 25-30, 2004 (in Japanese).

[9] [9] J. Van Erp and H. Van Veen, “Vibrotactile In-vehicle Navigation System,” Transportation Research, Par F, Vol.7, pp. 247-256, 2004.

[10] [10] A. Marcus, “Information Visualization for Advanced Vehicle Displays,” Information Visualization, Vol.1, No.3, pp. 95-102, 2002.

[11] [11] A. Akabane, J. Murayama, T. Yamaguchi, N. Teranishi, and M. Sato, “Examination on Signal Generating the Sensation of Depressing for a Touch Panel with a Tactile,” Journal of Human Interface, Vol.8, No.4, pp. 591-598, 2006 (in Japanese).

[12] [12] S. Kim, K. Sekiyama, and T. Fukuda, “Pattern Adaptive and Finger Image-guided Keypad Interface for In-vehicle Information Systems,” Int. Journal on Smart Sensing and Intelligent Systems, Vol.1, No.3, pp. 572-591, 2008.

[13] [13] L. Rabiner and B. Juang, “Fundamentals of Speech Recognition,” Prentice Hall, Chap.6, 1993.

[14] [14] L. Rabiner and B. Juang, “An Introduction to Hidden Markov Models,” IEEE Acoust Speech and Signal Process Magazine, Vol.3, No.1, pp. 4-16, 1986.

[15] [15] L. Rabiner, “A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition,” Proc. of The IEEE, Vol.77, No.2, pp. 257-285, 1989.

[16] [16] X. Huang, A. Acero, and H. Hon, “Spoken Language Processing: A Guide to Theory, Algorithm, and System Development,” Prentice Hall, Chap.8, 2001.

[17] [17] A. Marcus, “Vehicle User Interfaces: The Next Revolution,” Interactions, Vol.1, pp. 40-47, 2004.

[18] [18] M. Shimojo, M. Shinohara, and Y. Fukui, “Human Shape Recognition Performance for 3D Tactile Display,” IEEE Transactions on System, Man and Cybernetics, Part A: Systems and Humans. Vol.29, No.6, pp. 637-644, 1999.