Empirical Validity of the Method, “Red Spades”: A Rapid Measurement of the Level of Concentration and Switching of Attention in a Smartphone Apps
https://doi.org/10.18384/2949-5105-2023-3-123-132
Abstract
Aim. Verification of the empirical validity of the method of rapid measurement of the level of concentration and attention switching for the smartphone "Red peaks" in the context of a preventive approach to responding to the risks of the human factor.
Methodology. The validation procedure was a sequential presentation of three methods: 1) a standardized blank method of the Landolt working capacity diagnostic; 2) technique Black and red table F.D. Gorbov – E. Schulte; 3) "Red Spades" methodology developed by us.
Results. The Red Peaks method has the necessary indicators of empirical validity. Reliable connections at the level of p≤0.01 were revealed between the indicators of the "Red Spades " technique and the indicators of the methods of the Black-red Table of F.D. Gorbov – E. Schulte and diagnostics of Landolt's operability.
Research implications. Has been confirmed the validity of the technique, which has practically great potential for its use among workers of dangerous professions and industries.
About the Authors
V. V. Ermolaev
Moscow Pedagogical State University
Russian Federation
Russian Federation
Victor V. Ermolaev – Cand . Sci . (Psychology), Assoc . Prof . Chair of Labor Psychology and Psychological Counseling, General Director of LLC “ALGA”
ul. Malaya Pirogovskaya, 1, str. 1, Moscow, 119991
A. I. Chetverikova
an Independent researcher
Russian Federation
Russian Federation
Alena I. Chetverikova – Quality Control Director of LLC Center of Innovative Technologies “Traffic Psychology and Safety”
Moscow
J. Voroncova
an Independent researcher
Russian Federation
Russian Federation
Julija Voroncova – Researcher Functional State Diagnostic Methods Development Department of JSC NEUROCOM
Moscow
D. K. Nasonova
an Independent researcher
Russian Federation
Russian Federation
Daria K. Nasonova – Development Director of LLC Center of Innovative Technologies “Traffic Psychology and Safety”
Moscow
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