Appraising Trust in Interactions between Human Supervisors and Autonomous Robotic Systems

<p dir="ltr">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:</p><p dir="ltr"><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:</p><ul><li>".txt" — this is a timestamped log of any reportable user interface event;</li><li>"(SurvivorsFound)" — records the number of survivors confirmed found by the autonomous system;</li><li>"(Intervention)" — records the magnitude of the inter-agent spread (a variable that is directly controlled by the participant);</li><li>"(SecondaryTask)" — records the participant's responses to the secondary task when they are submitted;</li><li>"(SwarmPosition)" — records the two-dimensional position of the agent formation centroid (frequency 1 kHz);</li><li>"(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;</li><li>"(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.</li></ul><p dir="ltr"><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).</p><p dir="ltr"><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.</p><p dir="ltr">The relevant Field of Research (FoR) code is <b>410810 (Social Robotics)</b>.</p>