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DiGRA
EEG is presented as a real-time alternative.
This document serves as an introductory guide to electroencephalography (EEG) for games user researchers, arguing that EEG offers a real-time alternative to post-play questionnaires, which are prone to recall bias and interrupt gameplay. Its central thesis is that EEG's superior temporal resolution, lower cost, and suitability for live feedback make it a valuable evaluation method, though its limited spatial resolution and susceptibility to artefacts require careful study design. The authors stress that electrode configuration, preprocessing steps such as artefact removal and filtering, and the choice of analysis technique should follow directly from the research question.
The guide surveys a range of analytical approaches, including frequency-based methods such as FFT band analysis, mu rhythm measures, neurofeedback, and frontal alpha asymmetry, alongside event-related synchronization, event-related potentials such as P300 and ERN, the Berlin BCI protocol, and connectivity and coherence measures. Each technique is illustrated with examples drawn from research on sleep, violence in games, player engagement, and EEG-based authentication. The authors also identify methodological weaknesses in this literature, including unpublished proprietary calculations, single-game designs lacking null conditions, the absence of complementary questionnaire data, and insufficient attention to issues such as memory decay in authentication contexts.
In its concluding sections, the document weighs EEG against fMRI, acknowledging poor spatial resolution, vulnerability to noisy data, and the difficulty of linking signals to their neural origins, while identifying future directions such as using ERPs as gameplay input and applying connectivity analysis to assess cooperation and cognitive load. The overall scope is methodological and cross-disciplinary, addressing EEG applications in game evaluation and brain-computer interfaces, with the reference list pointing to studies on violence, competitive versus cooperative play, stereoscopic 3D, and in-game learning.