In recent decades, major technological advances have allowed a large number of Advanced Driver Assistance Systems (ADAS) and In-Vehicle Information Systems (IVIS) to be introduced that intend to improve road and driver safety. With the introduction of ADAS and IVIS, there have also been unintentional potential driver distractions and other safety effects. These effects can be of a short-, medium- or long-term nature. Driving simulator studies and on-road studies offer opportunities to investigate behavioural change as a result of the use of ADAS. In order to design the most suitable approach, it is important to know more about each investigation method, contrasting the methodological approaches with regard to utility, potential research questions, data collection and validity. Moreover, the approaches can also be viewed as complementary for assessing behavioural adaptation effectively and efficiently. This chapter will shed some light on the different methods, pointing out the advantages and disadvantages of realistic driving settings and simulated settings for the investigation of behavioural change.

Chapter Contents:

• Abstract
• 3.1 Introduction
• 3.2 The use of long-term studies to assess behavioural change with ADAS use
• 3.2.1 Cognitive adaptation to ADAS
• 3.2.2 Advantages of long-term studies
• 3.2.3 Inconveniences of long-term studies
• 3.2.4 Conclusion on long-term studies
• 3.3 Long-term studies using driving simulators
• 3.3.1 Introducing driving simulators
• 3.3.2 Utility of driving simulators
• 3.3.3 Advantages of driving simulators
• 3.3.4 Disadvantages of driving simulators
• 3.3.5 Conclusion on driving simulator studies
• 3.4 Long-term studies in real traffic conditions
• 3.4.1 Utility of naturalistic methods
• 3.4.2 Naturalistic driving study (NDS) versus field operational test (FOT)
• 3.4.3 Data from naturalistic methods
• 3.4.4 Conclusion on naturalistic methods
• 3.5 Conclusion
• Acknowledgement
• References

Inspec keywords: behavioural sciences computing; driver information systems; road safety

Other keywords: ADAS use; on-road studies; advanced driver assistance systems; driver safety; behavioural adaptation assessment; safety effects; in-vehicle information systems; driving simulator studies; behavioural change; road safety; IVIS; driver distractions

Subjects: Social and behavioural sciences computing; Traffic engineering computing