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JACIII Vol.19 No.2 pp. 247-254
doi: 10.20965/jaciii.2015.p0247
(2015)

Paper:

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Design and Implementation of Intelligent Event-Driven Human-Computer Interface on Vehicles

Jia Zhang*,**, Sheng-Li Xu*,**, and Fang Deng*,**

*School of Automation, Beijing Institute of Technology
Haidian District, Beijing 100081, China

**Key Laboratory of Intelligent Control and Decision of Complex Systems
5 South Zhongguancun Street, Haidian District, Beijing 100081, China

Received:
July 1, 2014
Accepted:
December 10, 2014
Published:
March 20, 2015
Creative Commons License
Keywords:
event-driven, vehicle platform, fuzzy cognitive map, intelligent human-computer interaction, human-computer interface
Abstract
An event-driven on-vehicle intelligent human-computer interface has been proposed to solve the problem of complex on-vehicle human-computer interaction. After need analysis of human-computer interaction under the vehicle platform, the framework of intelligent human-computer interface is established, various modules and workflows in the system are designed, and the reasoning feature based on fuzzy cognitive map (FCM) is implemented. The on-vehicle intelligent human-computer interface could help users to complete the interactive operation which is unrelated to the driving operations. Furthermore, the system could analyze the whole information and predict the information required by the user. At last, it could display the information on the interface. So, the on-vehicle intelligent human-computer interface could not only meet the user’s demand for secondary interactive tasks, but also could ensure the driving performance and safety.
Cite this article as:
J. Zhang, S. Xu, and F. Deng, “Design and Implementation of Intelligent Event-Driven Human-Computer Interface on Vehicles,” J. Adv. Comput. Intell. Intell. Inform., Vol.19 No.2, pp. 247-254, 2015.
Data files:
References
  1. [1] A. Schmidt, W. Spiessl, and D. Kern, “Driving Automotive User Interface Research,” IEEE Pervasive Computing, Vol.9, No.1, pp. 85-88, 2010.
  2. [2] J. S. Wang, R. R. Knipling, and M. J. Goodman, “The Role of Driver Inattention in Crashes: New Statistics from the 1995 Crashworthiness Data System,” 40th Annual Proc. of the Association for the Advancement of Automotive Medicine, pp. 377-392, 1996.
  3. [3] D. L. Strayer and F. A. Drew, “Profiles in Driver Distraction: Effects of Cell Phone Conversations on Younger and Older Drivers,” Human Factors: The J. of the Human Factors and Ergonomics Society, Vol.46, No.4, pp. 640-649, 2004.
  4. [4] D. M. Krum, J. Faenger, B. Lathrop, et al., “All Roads Lead to CHI: Interaction in the Automobile,” CHI’08 Extended Abstracts on Human Factors in Computing Systems, ACM, pp. 2387-2390, 2008.
  5. [5] D. A. Norman, “Living with Complexity,” Mit Press, 2010.
  6. [6] Y. Li, “Forward-bachward Analysis of Supply Chain Using Fuzzy Cognitive Map,” Dalian University of Technology, 2011.
  7. [7] L. Yu, “Intelligent Study Algorithm of Fuzzy Cognitive Map and its usage,” Jiang Nan Uniuversity, 2009.
  8. [8] J. Blanchette and M. Summerfield, “C++ GUI Programming with Qt 4,” O’Reilly Japan, pp. 11-12, 2006.

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