This record contains a methodological pilot protocol for testing whether synchronized multimodal psychophysiological state integration can provide incremental predictive value for task stability beyond established single-channel and workload-related measures. The proposed framework integrates heart-rate-variability regulation, EEG-derived workload or synchrony indicators, electrodermal stability, movement stability and respiratory regularity into a transparent baseline composite score, while treating cross-channel alignment as an exploratory extension. The primary outcome is normalized task-measurement entropy, interpreted jointly with accuracy and error rate. The protocol is positioned within psychophysiology, human factors, neuroergonomics and human–machine interaction. It does not treat biosignals as diagnostic, moral, personality-based or quantum-mechanical indicators. Instead, it examines whether momentary operator-state stability can be quantified as a process-quality variable during task performance. This upload is intended as a preprint / open research record of the submitted pilot protocol and its supplementary materials.
Sípos Lóránt (Sun,) studied this question.