van den Beukel Arie P, van der Voort Mascha C
University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
Appl Ergon. 2017 Mar;59(Pt A):302-312. doi: 10.1016/j.apergo.2016.09.005. Epub 2016 Sep 24.
The introduction of partially automated driving systems changes the driving task into supervising the automation with an occasional need to intervene. To develop interface solutions that adequately support drivers in this new role, this study proposes and evaluates an assessment framework that allows designers to evaluate driver-support within relevant real-world scenarios. Aspects identified as requiring assessment in terms of driver-support within the proposed framework are Accident Avoidance, gained Situation Awareness (SA) and Concept Acceptance. Measurement techniques selected to operationalise these aspects and the associated framework are pilot-tested with twenty-four participants in a driving simulator experiment. The objective of the test is to determine the reliability of the applied measurements for the assessment of the framework and whether the proposed framework is effective in predicting the level of support offered by the concepts. Based on the congruency between measurement scores produced in the test and scores with predefined differences in concept-support, this study demonstrates the framework's reliability. A remaining concern is the framework's weak sensitivity to small differences in offered support. The article concludes that applying the framework is especially advantageous for evaluating early design phases and can successfully contribute to the efficient development of driver's in-control and safe means of operating partially automated vehicles.
部分自动化驾驶系统的引入将驾驶任务转变为监督自动化并偶尔需要进行干预。为了开发能够充分支持驾驶员履行这一新角色的界面解决方案,本研究提出并评估了一个评估框架,该框架允许设计师在相关的现实场景中评估对驾驶员的支持。在所提出的框架内,确定在驾驶员支持方面需要评估的方面包括事故避免、获得的态势感知(SA)和概念接受度。为使这些方面及相关框架可操作而选择的测量技术,在驾驶模拟器实验中对24名参与者进行了预测试。测试的目的是确定用于评估框架的应用测量的可靠性,以及所提出的框架在预测概念提供的支持水平方面是否有效。基于测试中产生的测量分数与概念支持方面具有预定义差异的分数之间的一致性,本研究证明了该框架的可靠性。一个仍然存在的问题是该框架对所提供支持的微小差异的敏感性较弱。文章得出结论,应用该框架对于评估早期设计阶段特别有利,并且可以成功地为有效开发驾驶员控制部分自动化车辆的安全操作方式做出贡献。