Comparing Expert Driving Behavior in Real World and Simulator Contexts

Abstract

Computer games are increasingly used for purposes beyond mere entertainment, and current hi-tech simulators can provide quite, naturalistic contexts for purposes such as traffic education. One of the critical concerns in this area is the validity or transferability of acquired skills from a simulator to the real world context. In this paper, we present our work in which we compared driving in the real world with that in the simulator at two levels, that is, by using performance measures alone, and by combining psychophysiological measures with performance measures. For our study, we gathered data using questionnaires as well as by logging vehicle dynamics, environmental conditions, video data, and users' psychophysiological measurements. For the analysis, we used several novel approaches such as scatter plots to visualize driving tasks of different contexts and to obtain vigilance estimators from electroencephalographic (EEG) data in order to obtain important results about the differences between the driving in the two contexts. Our belief is that both experimental procedures and findings of our experiment are very important to the field of serious games concerning how to evaluate the fitness of driving simulators and measure driving performance.

Design of simulator training: a comparative study of Swedish dynamic decision-making training facilities

“…As has been pointed out by for example Lineberry et al (2013), these are methodological issues that make comparative analysis of the effectiveness of transfer problematic. Although the issue of transfer between simulator training and real-world situations admittedly is a problematic one, the definition and use of performance measures also influences how and to what extent effects of transfer can be measured and ascertained (Ramberg and Karlgren 1998;Artman et al 2013;Ekanayake et al 2013). Still, as witnessed by the analysis conducted in this article, some issues do not only concern measures but also common ground and communication between different actors, communities and formal bodies.…”

The Impact of Sleep Deprivation on the Level of Sleepiness, Fatigue, and Stress on Experiment Using Driving Simulator

“…Scale in KSS described as follows [18][19][20]: 1 = very alert, 3 = alert, 5 = neither alert nor sleepy, 7 = sleepy, but no problem to stay awake, 9 = very sleepy, great effort to stay awake, and even numbers (2, 4, 6, and 8) as an intermediate score between odd score.…”

“…The studies reported that sleepiness level is relatively higher compares to real driving [16][17][18]. Imitation of driving workload by simulator indeed has some limitations ICOHS 2017 such as pressure on safety during driving is less than real driving that may impact on performance variation during experiment [19], but in many conditions applying driving simulator allowed a researcher to minimize the risks that may occur during experiments.…”

Adaptive tactical behaviour planner for autonomous ground vehicle

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