A comparison under actual driving conditions of 3 manual destination entry techniques (keypad, touch screen, and rotational controller) indicates that visual behavior measures are sensitive for detecting differences that are not apparent in standard driving performance measures when drivers are under low to moderate levels of load.
Get full access to this article
View all access options for this article.
References
1.
DuchowskiA. (2007). Eye Tracking Methodology: Theory and Practice (Vol. 2). London: Springer.
2.
GreenP. (1997). Potential safety impacts of automotive navigation systems. Paper presented at the Automotive Land Navigation Conference.
3.
GreenP. (2004). Driver distraction, telematics design, and workload managers: safety issues and solutions. Paper Number 2004-21-0022: SAE International.
4.
GruensteinA.OrszulakJ.LiuS.RobertsS.ReimerB.MehlerB. (2009, April, 4–9). City Browser: Developing a conversational automotive HMI. Paper presented at the Work in progress CHI Annual Meeting, Boston, MA.
5.
LammersV. (2007). The impact of input methods for in vehicle information systems on driving performance: an on-road study. Unpublished thesis, Cologne University of Applied Sciences, Cologne, Germany.
6.
MehlerB.ReimerB.CoughlinJ. F.DusekJ. A. (2009). The impact of incremental increases in cognitive workload on physiological arousal and performance in young adult drivers. Paper presented at the Transportation Research Board of The National Academies, Washington, DC.
7.
MourantR. R.HermanM.Moussa-HamoudaE. (1980). Driver looks and control location in automobiles. Human Factors, 22(4), 417–425.
8.
PaelkeG. M. (1993). A comparison of route guidance destination entry methods. Human Factors and Ergonomics Society 37th Annual Meeting, 569–573.
9.
PashlerH. (1992). Attentional limitations in doing two tasks at the same time. Current Directions in Psychological Science, 1(2), 44–48.
10.
ReimerB. (2009). Cognitive Task Complexity and the Impact on Drivers' Visual Tunneling. Paper presented at the Transportation Research Board of The National Academies, Washington, DC.
11.
ReimerB.SodhiM. (2006). Detecting eye movements in dynamic environments. Behavior Research Methods, 38(4), 667–682.
12.
SAE. (2004). SAE recommended practice navigation and route guidance function accessibility while driving (SAE 2364). Warrendale, PA: Society of Automotive Engineers.
13.
SodhiM.ReimerB.LlamazaresI. (2002). Glance analysis of driver eye movements to evaluate distraction. Behavior Research Methods, Instruments, and Computers, 34(4), 529–538.
14.
TijerinaL.JohnstonS.ParmerE.WinterbottomM. D.GoodmanM. J. (2000). Driver distraction with route guidance systems (DOT HS 809–069). Washington, D.C.: U.S. Department of Transportation technical report.
15.
TsimhoniO.SmithD.GreenP. (2004). Address entry while driving: Speech recognition versus a touch-screen keyboard. Human Factors, 46(4), 600–610.
16.
VictorT. W.HarblukJ. L.EngströmJ. A. (2005). Sensitivity of eye-movement measures to in-task difficulty. Transportation Research Part F, 8, 167–190.
17.
WierwilleW. W. (1993). Visual and manual demands of in-car controls and displays. In PeacockB.KarwowskiW. (Eds.), Automotive ergonomics, (pp. 299–320) Washington, DC: Taylor & Francis.
