Robotic Commitment to Human-robot Trust Behaviour and ERP Dataset

Use the ERP system produced by Brain Products in Germany and record EEG using a 64 conductive electrode cap extended according to the international 10-20 system. When recording online, use Fz point as the reference electrode, and after offline, switch to bilateral mastoid as the reference electrode. EEG activity is collected using DC, with a filtering bandpass range of DC~280 Hz and a sampling rate of 500Hz. The impedance between the electrode and the scalp is less than 10 k Ω. The data is analyzed offline using MATLAB R2022b and EEGLAB 2024.0. Restore the reference electrode recorded online during analysis and re reference it with bilateral papillae (TP9, TP10). Subsequently, the data was filtered with filtering parameters ranging from 0.1 to 30Hz. ICA was used to remove high noise samples such as blinking, electromyography, and electrocardiographic artifacts, automatically eliminating other artifact signals with amplitudes greater than ± 100 μ V. SPSS 27.0 was used to perform repeated measures ANOVA on all data, and the statistical results were corrected for p-values using the Greenhouse Geisser method for non spherical cases, and Bonferroni method for multiple comparisons.