Rating of Take-Over Performance in Conditionally Automated Driving Using an Expert-Rating System

Conditionally Automated Driving could be the next step towards fully automated driving. In this level of automation, the human driver represents the fallback instance and has to be able to regain control of the vehicle if requested. This transition process is currently in focus of human factors research. In previous studies, take-over performance was rated by using data concerning reaction times and quantitative data measuring the quality of the drivers’ input. One disadvantage of this method is that all aspects of the take-over process are considered separately and not the take-over as a whole event. In the current study, a new method for rating of take-over performance was used. The expert rating system TOC [1] was used to rate take-over performance of N = 66 subjects in a driving simulator study. Two different non-driving related tasks (NDRTs) were used to affect fatigue. Results suggest, that take-over performance was poor, independent of NDRTs.

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