Abstract
Although ADAS (Advanced Driver Assistance System) is improving and becoming nearly from automatic to autonomous, inconsistency between the system’s behavior and human driver’s understanding of the system can easily lead to automation surprises. To avoid such cases, the effect of supporting driver’s prediction of system behavior is investigated in this study. An effect of presenting predictive information to a driver earlier before hazardous events was studied by a driving simulation experiment and the result suggests that such early information is used for raising attention and or a cue for reaction depending on both timing of information presentation and a type of an event.
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Takahashi, A. (2021). Supporting Event Prediction for Level 2 ADAS Users to Prevent Automation Surprises. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2021. Lecture Notes in Networks and Systems, vol 270. Springer, Cham. https://doi.org/10.1007/978-3-030-80012-3_29
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DOI: https://doi.org/10.1007/978-3-030-80012-3_29
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