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:

Data.zip: 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[P] DD-MMM-YYYY hh-mm-ss +1100[ending]", where the presence of [P] denotes the practice session, and [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.

Documents: 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).

Utilities: 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 410810 (Social Robotics).