A Study on the Design of Voice Navigation of Car Navigation System
This study tries to find the designing blind spots of the voice prompt function in the current car navigation systems and make improvement suggestions. The experimental plan was implemented through videotape analysis of the voice-prompt mode, referring to Urban Road Classification Regulations and the questionnaire survey results. Driving simulation tests were conducted with 15 experimental subjects, 13 road combinations, and 3 running speeds, and different prompt modes which were run synchronously were also included. Compared with the present mode (prompt time is determined by distance.), the newly-designed mode (prompt time is determined by running speed.) significantly improved driving performance and reduced mental workload. When driving on a main artery with fast lanes and slow lanes, adding a changing-lane prompt with a clear sound to the system can help increasing the driving accuracy rate.
Keywordsnavigation systems voice prompt function driving accuracy rate
Unable to display preview. Download preview PDF.
- 1.Perez, W.A., Mast, T.M.: Human factors and advanced traveller information systems (ATIS). In: Proceedings of the Human Factors Society 36th Annual Meeting, pp. 1073–1077. Human Factors Society, Santa Monica (1992)Google Scholar
- 2.Wierwille, W.W.: Development of an initial model relating driving in-vehicle visual demands to accident rate. In: Third Annual Mid-Atlantic Human Factors Conference Proceedings. Virginia Polytechnic Institute and State University, Blacksburg (1995)Google Scholar
- 3.French, R.L.: In-vehicle navigation-status and safety impacts. Technical Papers from ITE’s 1990,1989, and 1988 conference (1990)Google Scholar
- 4.Wierwille, W.W., Hulse, M.C., Fischer, T.I., Dingus, T.A.: Visual adaptation of the driver to high-demand driving situation while navigating with an in-car navigation system. In: Vision in Vehicles III, pp. 79–87. Elsevier Press, Amsterdam (1991)Google Scholar
- 5.Lansdown, T.C.: Visual allocation and the availability of driver information. In: Gothengater, T., Carbonell, E. (eds.) Traffic & Transport Psychology: Theory and Application, pp. 215–223. Pergamon Press, Amsterdam (1997)Google Scholar
- 6.Sanders, M.S., McCormick, E.J.: Human Factors In Engineering and Design, 7th edn. McGraw Hill Press, Singapore (1993)Google Scholar
- 8.Construction and planning Adency Ministry of the Interior(CPAMI) Information, http://www.cpami.gov.tw/web/index.php
- 9.McGehee, D.V., Mazzae, E.N., Scoot, G.H.: Baldin: Driver Reaction Time in Crash Avoidance Research:Validation of a Driving Simulator Study on a Test Track. In: Proceedings of the IEA 2000/HFES 2000 Conference, vol. 3 (2002)Google Scholar
- 10.Dewar, R.E.: In-vehicle information and driveroverload. International Journal of Vehicle Design 9, 557–564 (1988)Google Scholar
- 11.Dingus, T.A., Hulse, M.C.: Some human factors design issues and recommendations for automobile navigation information systems. TransportationResearch 1, 119–131 (1993)Google Scholar
- 12.Wickens, C.D., Sandry, D., Vidulich, M.: Compatibility and resource competition between modalities of input, central processing, and output. Human Factors 25, 227–248 (1983)Google Scholar
- 14.Oglesby, C.H., Hicks, R.G.: Highway Engineering. John Wiley & Sons, Chichester (1982)Google Scholar