Long-term effects of the ADF need to be fully understood. Every opportunity shall be used to continuously improve the functions, by understanding these effects and applying appropriate countermeasures. Designers, developers and evaluators shall do the utmost to release a mature function to the market, minimising the negative effects of ADF as much as possible. Nevertheless, the actual impact on real users shall be continuously monitored, and measures need to be applied to do so. Typically, the main risks of long-term effects are skill degradation and building over-trust in the function.
In this perspective, it is important to consider the Behavioural Adaptation (BA): “Those behaviors which may occur following the introduction of changes to the road-vehicle-user system and which were not intended by the initiators of the change” (OECD, 1990).
For the qualitative model of BA (specifically addressing ADAS), the reader can see (Rudin-Brown & Noy, 2002), for the BA theory including its key-elements, see (Martens & Jenssen, 2012).
Main Question
Are the long-term effects of the ADF on users being investigated?
Sub-Questions
- Are all the appropriate metrics to evaluate the long-term effects of the ADF being considered, in terms of driving skill degradation?
- Are all the appropriate metrics to evaluate the long-term effects of the ADF being considered, in terms of trust in the function?
References
- OECD (1990). Behavioral adaptations to changes in the road transport system. Available at: https://trid.trb.org/View/350620
- Rudin-Brown, C.M. and Noy, Y.I. (2002) Investigation of behavioral adaptation to lane departure warnings. Transportation Research Record. Available at: https://trid.trb.org/view/728006 (Accessed 24 May 2024).
- Martens, M.H. and Jenssen, G.D. (2012). Behavioral Adaptation and Acceptance. Handbook of Intelligent Vehicles, pp.117–138. doi:https://doi.org/10.1007/978-0-85729-085-4_6.