Processed data from expert interviews on reasons and principles for automated vehicle manoeuvre planning

This dataset contains processed data supporting a study on reasons and principles for automated vehicle manoeuvre planning guided by the tracking principle of Meaningful Human Control (MHC).<br>The dataset includes pseudonymised results from interviews with automated vehicle experts and derived qualitative analysis outputs, including lists of human reasons, preferred manoeuvring decisions and their corresponding reasons in ethically challenging routine situations, thematic saturation analyses, and inter-coder agreement metrics (Cohen’s kappa).<br>Raw interview audio and other identifiable materials are excluded due to ethical and legal constraints. All included data have been pseudonymised or aggregated to minimise re-identification risks.

本数据集包含经加工处理的数据，用于支撑一项以有意义的人类控制（Meaningful Human Control, MHC）追踪原则为指导的自动驾驶车辆动作规划动因与原理相关研究。
本数据集收录了针对自动驾驶领域专家开展访谈所得的匿名化结果，以及衍生的定性分析产出，具体包括：存在伦理挑战的常规场景下的人类动因清单、偏好动作规划决策及其对应动因、主题饱和分析结果，以及编码者间一致性评估指标（科恩卡帕系数，Cohen’s kappa）。
出于伦理与法律约束，原始访谈音频及其他可识别性材料未被纳入本数据集。所有收录数据均已完成匿名化或聚合处理，以最大程度降低身份重新识别风险。