Behavioral adaptation to Advanced Driver Assistance Systems (ADAS) – A multi-method comparative study between Vietnam and Belgium (R-11619)

In the era of increasing automation, Advanced Driver Assistance Systems (ADAS) serve to support human vehicle-operators in carrying out the driving task as safely and comfortably as possible. The automotive industry is investing huge amounts in technologies that should allow drivers to more efficiently manage their longitudinal and lateral safety margins. The success potential of these technologies was demonstrated on many occasions already, which is why policy makers worldwide support large-scale deployment of these systems. Notwithstanding, academic research has shown that ADAS-systems not always result in desired and expected use. Also, many studies indicate that (full) delegation of vehicle control from the human operator to vehicle technology, is not always accepted by drivers. This proposal directly addresses this issue, but aims to contribute to the fundamental research-oriented state-of-the-art on the topic. The primary interest is to learn more about the phenomenon called 'behavioral adaptation' (i.e. unintended behavioral side-effects triggered by safety-supportive ADAS), and to explore innovative avenues for the implementation of ADAS-systems (like the use of multi-staged, or situation-adaptive warning strategies). Scientifically this proposal is innovative because it proposes a multi-method design (i.e. survey, simulation, test-route, field-operational-trial), and a longer-term naturalistic follow-up in a cross-national setting (Vietnam & Belgium).

Keywords:ADAS, Advanced Driver Assistance Systems, Behavioral adaptation, User acceptance

Disciplines:Intelligent vehicles