Conceptualizing driver mental models is not a common tool used to evaluate vehicle human-machine interfaces (HMIs) in the transportation-related literature. The presented research examines the results of a mental model exercise used to explore drivers' perception of a task mitigation workload manager. The driver workload system was designed to disable HMI functions when driving demand was estimated (by the system algorithm) to be high based on real-time assessment of the external driving environment. This paper focuses on abstracting driver comprehension of the workload system using mental model concepts.
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References
1.
BlommerM.GreenbergJ., “Realistic 3D Sound Simulation in the VIRTTEX Driving Simulator,”Proceedings of DSC North America, Dearborn, MI. October 2003.
2.
CatheyL.ArtzB.GreenbergJ.BlommerM.GrantP., “Characterization of the Visual Display system used in the Ford VIRTTEX Driving Simulator,”Proc. of the Image 2003 Conference, Scottsdale, Arizona.
3.
ChandraS.BlockleyD.I. (1995). “Cognitive and computer models of physical systems.”Int. J. Human-Computer Studies43, pp. 539–559.
DonmezB.BoyleLinda N.LeeJohn D. (2006). The impact of distraction mitigation strategies on driving performance. Human Factors, 48(4), 785–804.
6.
DonmezB.BoyleLinda N.LeeJohn D. (2007). Safety Vehicles using adaptive Interface Technology (Task 4) Final Report: Phase 2 Distraction mitigation evaluation. Iowa City, IA: University of Iowa.
7.
GreenP. (2004). Driver distraction, telematics design, and workload managers: Safety issues and solutions (SAE Paper Number 2004–21–00220). Warrendale, PA: Society of Automotive Engineers.
8.
GreenbergJ.ArtzB.CatheyL., “The Effect of Lateral Motion Cues During Simulated Driving,”Proceedings of DSC North America, Dearborn, MI. October 2003.
9.
Johnson-LairdP.N. (1983) Mental Models: Towards a Cognitive Science of Language, Inference, and Consciousness, (pp. 126–145). Cambridge, MA: Harvard University Press.
10.
KearneyA.R.KaplanS. (1997) “Toward a Metho-dology for the Measurement of Knowledge Structures of Ordinary People: The Conceptual Content Cognitive Map (3CM),”Environment and Behavior. 29, 579–617.
11.
NormalD.A. (1983). Some observations on mental models. In GentnerD.StevensA.L. Eds. Mental Models (pp. 15–34), Hillsdale, NJ: Lawrence Erlbaum.
12.
PiechullaW.MayserC.GehrkeH.KönigW. (2003). Reducing Drivers' Mental Workload by Means of an Adaptive Man-machine Interface, Transportation Research Part F, 6, 233–248.
13.
PrietoR.NewmanT.SovacoolR.SmithM. (2008, January). A final report of Safety Vehicles using adaptive Interface Technology (Phase II: Task 13): System integration.Kokomo, IN: Delphi Electronics and Safety Systems.
14.
StaggersN.NorcioA.F. (1993). “Mental models; concepts for human-computer interaction research. Int. J. Man-Machine Studies, 38, 587–605.
15.
UchiyamaY.KojimaS.HongoT.TerashimaR.ToshihiroW. (2004). Voice information system that adapts to driver's mental workload. R&D Review of Toyota CRDL, 39(1), 16–22.
WuX.TsimhoniO.LiuY. (2008). Development of an adaptive workload management system using queuing network-Model Human Processor (QN-MHP). IEEE Transactions on Intelligent Transportation Systems, 9(3), 463–475.
