Attentional Split in Automotive EEG Dataset

This dataset contains the time-resolved EEG-derived neurometrics used for the computation and evaluation of the Attentional Split Index (ASI).The file is provided in MATLAB format (.mat) and includes, for each participant and experimental condition, the temporal series of the neurometrics entering the ASI-related analysis pipeline.

The dataset is organized in the variable time_met, structured by participant, condition, and session. Participant identifiers are pseudonymized (e.g., p02s1, p03s1, etc.). The experimental conditions included in the file are:

OC

OA

Citybase

Citytask

HWaybase

Hwaytask

All neurometrics are stored as numerical vectors and represent condition-specific temporal profiles extracted from the EEG recordings and used as inputs for the mutual-information-based assessment of attentional split presented in the paper.The file also includes an aggregated entry (all) and a p_info structure containing metadata on preprocessing/analysis settings and condition labels.