Human Factors Engineering, Transportation Research Group, Faculty of Engineering and Physical Sciences, University of Southampton, SO16 7QF, UK.
Human Factors Engineering, Transportation Research Group, Faculty of Engineering and Physical Sciences, University of Southampton, SO16 7QF, UK.
Appl Ergon. 2019 Nov;81:102904. doi: 10.1016/j.apergo.2019.102904. Epub 2019 Jul 31.
To date, vehicle manufacturers have largely been left to their own initiatives when it comes to the design, development and implementation of automated driving features. Whilst this has enabled developments within the field to accelerate at a rapid pace, we are also now beginning to see the negative aspects of automated design (e.g., driver complacency, automation misuse and ethical dilemmas). It is therefore becoming increasingly important to identify systemic aspects that can address some of these Human Factors challenges. This paper applies the principles of the Risk Management Framework to explore the wider systemic issues associated with automated driving in the United Kingdom through the novel application of network metrics. The authors propose a number of recommendations targeted at each level of the Risk Management Framework that seek to shift the power of influence away from vehicle manufacturers and back into the hands of governing bodies.
迄今为止，在设计、开发和实施自动驾驶功能方面，汽车制造商在很大程度上只能依靠自己的主动性。虽然这使得该领域的发展能够快速加速，但我们也开始看到自动化设计的负面方面（例如，驾驶员自满、自动化滥用和道德困境）。因此，越来越有必要确定可以解决一些人为因素挑战的系统方面。本文通过网络指标的新应用，将风险管理框架的原则应用于探索英国自动驾驶相关的更广泛的系统问题。作者针对风险管理框架的各个层次提出了一些建议，旨在将影响力从汽车制造商转移到管理机构手中。
