Data for the study: "Mind the responsibility gap: the control ability of automated car drivers does not impact their perceived responsibility"

This dataset contains the data and analysis scripts (R) for the study "Mind the responsibility gap: the control ability of automated car drivers does not impact their perceived responsibility"The research objective was to gauge the general public's perception on the extent of responsibility for a human driver, an automated vehicle, and the vehicle's manufacturer in case the vehicle crashes. We measured the perceived responsibility to each of the three actors (human, vehicle, manufacturer), the perceived ability of the human driver to intervene and avoid the accident, and the situational awareness of the driver. The data were gathered through an online questionnaire; participants were recruited through an online crowd-sourcing platform Prolific. Each participant was assigned to one of the five experiment conditions. All data are quantitative data, with the responses on a 0-100 point scale for responsibility, ability, and awareness.<br>The analysis scripts execute the statistical analysis (moderated mediation) through a bootstrap confidence interval analysis.

本数据集包含了题为《警惕责任鸿沟：自动驾驶汽车驾驶员的操控能力不影响其感知责任》（Mind the responsibility gap: the control ability of automated car drivers does not impact their perceived responsibility）的研究相关数据与R语言分析脚本。本研究旨在调研普通大众对三类主体——人类驾驶员、自动驾驶车辆、车辆制造商——在车辆发生碰撞事故时的责任归属感知。我们针对这三类主体分别测量了其被感知到的责任程度，同时评估了人类驾驶员干预并规避事故的感知能力，以及驾驶员的情境意识（situational awareness）。本研究数据通过在线问卷收集，参与者招募自在线众包平台Prolific，每名参与者被分配至五个实验条件中的一组。所有数据均为定量数据，其中关于责任程度、操控能力与情境意识的评分均采用0-100分制。本分析脚本通过bootstrap置信区间分析执行有调节的中介（moderated mediation）统计分析。