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Ergonomic Design of the Gauge Cluster Display for Commercial Trucks

  • Kim, Taehun (Department of Industrial Management Engineering, Korea University) ;
  • Park, Jaekyu (Department of Industrial Management Engineering, Korea University) ;
  • Choe, Jaeho (Department of Industrial Management Engineering, Daejin University) ;
  • Jung, Eui S. (Department of Industrial Management Engineering, Korea University)
  • Received : 2015.03.26
  • Accepted : 2015.05.18
  • Published : 2015.06.30

Abstract

Objective: The purpose of this study is to determine the priority of information presentation and the effective menu type to be placed in the center of a gauge cluster display for commercial trucks and to present a set of ergonomic designs for the gauge cluster display. Background: An effective ergonomic design is specifically needed for the development of the gauge cluster display for the commercial trucks, because more diverse and heavier information is delivered to truck drivers, compared to the information to passenger car drivers. Method: First, all the information that must be shown on the commercial truck display was collected. Then, the severity, frequency of use, and display design parameters were evaluated for those information by commercial truck drivers. Next, an analysis on the information attributes and the heuristic evaluation utilizing the display design principles were carried out. According to the results, a design alternative of the main screen to be displayed was constructed by priority. A comparative analysis between the alternative and existing main screens was also conducted to see the efficacy of the designs. Lastly, we conducted an experiment for the selection of menu type. The experiment was conducted using the driving simulator with an eye-tracking device. The independent variables were four types of the menu reflecting the commercial truck characteristics such as grid type, icon type, list type, and flow type. We measured preference, total execution time, the total duration of fixation on the gauge cluster area, and the total number of fixation on the gauge cluster area as dependent variables. Results: Four types of driver convenience information and six types of driver assistance information were selected as the information to be placed primarily on the main screen of the gauge cluster. The Grid type was the most effective among the menu types. Conclusion: In this study, the information that appears on the main screen of the display, the division of the display and the design of the menu type for commercial truck drivers were suggested. Application: This study is expected to be utilized as guidelines on the ergonomic design of a gauge cluster display for commercial trucks.

Keywords

References

  1. Frost & Sullivan, HMI for Vehicle Applications - Technology Roadmaps, OEM Strategies, Opportunities and Implications, M039-01-00-00-00, Mountain View, CA, Frost & Sullivan, 2006.
  2. Green, P., Levison, W., Paelke, G. and Serafin, C., Suggested human factors design guidelines for driver information systems, The University of Michigan Transportation Research Institute (UMTRI), 1993.
  3. Hong, S.P., Kim, S.M., Park, S.J. and Jung, E.S., A Study on Designing of a Menu Structure for the Instrument Cluster IVIS using Taguchi Method. Journal of the Ergonomics Society of Korea, 29(1), 39-46, 2010. doi:10.5143/JESK.2010.29.1.039
  4. Jung, G., Kim, S.M., Kim, S.Y., Jung, E.S. and Park, S., Effects of design factors of the instrument cluster panel on consumers' affection, Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, 3(pp. 1-4), Hong Kong, 2010.
  5. Kim, H.S., Jung, K.T. and Lee, D.H., A Study on the Menu Type of Instrument Cluster IVIS, Journal of the Ergonomics Society of Korea, 32(2), 189-198, 2013. doi:10.5143/JESK.2013.32.2.189
  6. Nam, T., Myung, R. and Hong, S.K., The Application of Work Domain Analysis for the Development of Vehicle Control Display, Journal of the Ergonomics Society of Korea, 26(4), 127-133, 2007. doi:10.5143/JESK.2007.26.4.127
  7. Neal, V.L., Dingus, T.A., Schroder, A.D., Zellers, S. and Reinach, S., Development of human factors guidelines for advanced traveler information systems (ATIS) and commercial vehicle operations (CVO): Investigation of user stereotypes and preferences, U.S. Department of Transportation, McLean, VA, 1999.
  8. Oh, Y.J. and Lee, H.J., A study of the effect on the usability for mobile phone main menu navigation, Proceeding of HCI annual conference, 1407-1412, 2007.
  9. Rasmussen, J., Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models, IEEE Transactions on Systems, Man and Cybernetics, SMC-13(3), 257-266, 1983. doi:10.1109/TSMC.1983.6313160
  10. Tanoue, C., Ishizaka, K. and Nagamachi, M., Kansei Engineering: A study on perception of vehicle interior image, International Journal of Industrial Ergonomics, 19(2), 115-128, 1997. doi:10.1016/S0169-8141(96)00008-X
  11. USNRC (U.S. Nuclear Regulatory Commission), Human-System Interface Design Review Guidelines (NUREG-0700, Rev. 2), USNRC, 2002.
  12. Yoon, S.H., Lim, J. and Ji, Y.G., Assessment model for perceived visual complexity of automotive instrument cluster, Applied ergonomics, 46, 76-83, 2015. doi:10.1016/j.apergo.2014.07.005