The Impact of Dynamic Multisensory Virtual Environments on User Interaction in VR Shopping: A Neurophysiological and Subjective Study

The data generated and analyzed in this study include EEG recordings, behavioral metrics, and questionnaire responses. Below is an overview of the data generation, processing methods, and tools used.

EEG Data:

Generation: Recorded using the Brduino EEG system during virtual shopping tasks. The data were collected at a sampling rate of 500 Hz, covering multiple channels (FP1, FP2, F3, F4, etc.).

Processing: Preprocessed with MNE-Python for artifact removal and power spectral density calculations across frequency bands (δ, θ, α, β, γ).

Format: Raw data stored in .bdf format; processed data saved in .csv.

Questionnaire Responses:

Generation: Collected through a 7-point Likert scale questionnaire after each virtual shopping task, assessing emotional engagement, immersion, and satisfaction.

Format: Stored in .csv format with participant responses.

Behavioral Data:

Generation: Automatically recorded during the VR shopping task, including shopping time (in seconds) and total spending (in virtual currency).

Format: Stored in .csv format.