Appraising Trust in Interactions between Human Supervisors and Autonomous Robotic Systems

This dataset was gathered as part of a doctoral research project investigating human participants' self-reported trust in an autonomous system. The folder structure is as follows:<b>Data.zip</b>: A compressed folder containing the tabular data recorded from each interaction session (each participant completed one practice session and two full sessions). The file naming convention is "NN DD-MMM-YYYY hh-mm-ss +1100[ending]", where [ending] is one of:".txt" — this is a timestamped log of any reportable user interface event;"(SurvivorsFound)" — records the number of survivors confirmed found by the autonomous system;"(Intervention)" — records the magnitude of the inter-agent spread (a variable that is directly controlled by the participant);"(SecondaryTask)" — records the participant's responses to the secondary task when they are submitted;"(SwarmPosition)" — records the two-dimensional position of the agent formation centroid (frequency 1 kHz);"(Trust-During)" — records the participant's self-reported trust level (between 0% and 100%) when the participant presses the simulation interface's adjustment buttons during the interaction session;"(Trust-TPSHRI)" — records the participant's self-reported trust level (between 0% and 100%) when the participant completes Schaefer's 14-question Trust Perception Scale for Human-Robot Interaction before and after the interaction session.<b>Documents</b>: Contains texts and pictures shared with participants during the interaction session (advertisement for study participants, plain language statement, data collection consent form, a script read out by the session facilitator, and screenshots of the simulation interface at different stages of the session).<b>Utilities</b>: Contains MATLAB code used to create the front-end simulation interface, the back-end interaction model, and two scripts to process the collected interaction data.The relevant Field of Research (FoR) code is <b>410810 (Social Robotics)</b>.

本数据集源自一项博士研究项目，旨在探究人类受试者对自主系统（autonomous system）的自我报告式信任水平。其文件夹结构如下：
**Data.zip**：包含各次交互会话记录的表格数据的压缩文件夹（每位受试者完成1次练习会话与2次正式会话）。文件命名规则为"NN DD-MMM-YYYY hh-mm-ss +1100[后缀]"，其中[后缀]可选值如下：
- ".txt"：带时间戳的可报告用户界面事件日志；
- "(SurvivorsFound)"：记录自主系统确认发现的幸存者数量；
- "(Intervention)"：记录智能体间传播幅度（该变量由受试者直接控制）；
- "(SecondaryTask)"：记录受试者提交次级任务时的作答结果；
- "(SwarmPosition)"：记录智能体编队质心的二维位置（采样频率为1 kHz）；
- "(Trust-During)"：记录受试者在交互会话中按下模拟界面调节按钮时的自我报告信任值（取值范围0%~100%）；
- "(Trust-TPSHRI)"：记录受试者在交互会话前后完成谢弗14题人机交互信任感知量表（Schaefer's 14-question Trust Perception Scale for Human-Robot Interaction）时的自我报告信任值（取值范围0%~100%）。

**Documents**：内含交互会话期间向受试者提供的文本与图片资料，包括研究受试者招募广告、通俗说明文书、数据采集知情同意书、会话主持人宣读的脚本，以及会话不同阶段的模拟界面截图。

**Utilities**：内含用于搭建前端模拟界面、后端交互模型的MATLAB代码，以及2份用于处理采集到的交互数据的脚本。

相关研究领域（Field of Research, FoR）代码为**410810（社会机器人学，Social Robotics）**。