6533b821fe1ef96bd127b977

RESEARCH PRODUCT

Machinery Failure Approach and Spectral Analysis to Study the Reaction Time Dynamics over Consecutive Visual Stimuli: An Entropy-Based Model.

José M. IsidroPedro Fernández-de-córdobaEsperanza Navarro-pardoMoisés Hernaiz-guijarroMiguel E. Iglesias-martinezJuan Carlos Castro-palacio

subject

Visual stimuliMean time between failuresVisual perceptionComputer scienceGeneral MathematicsFast Fourier transform050109 social psychologySpectral analysisPercepció visual03 medical and health sciences0302 clinical medicineFast Fourier transformComputer Science (miscellaneous)0501 psychology and cognitive sciencesSpectral analysisEngineering (miscellaneous)Reaction timebusiness.industrylcsh:MathematicsSpectral entropy05 social sciencesPattern recognitionMTBF modelTempslcsh:QA1-939Time dynamicsFISICA APLICADAArtificial intelligencebusinessMATEMATICA APLICADA030217 neurology & neurosurgery

description

[EN] The reaction times of individuals over consecutive visual stimuli have been studied using an entropy-based model and a failure machinery approach. The used tools include the fast Fourier transform and a spectral entropy analysis. The results indicate that the reaction times produced by the independently responding individuals to visual stimuli appear to be correlated. The spectral analysis and the entropy of the spectrum yield that there are features of similarity in the response times of each participant and among them. Furthermore, the analysis of the mistakes made by the participants during the reaction time experiments concluded that they follow a behavior which is consistent with the MTBF (Mean Time Between Failures) model, widely used in industry for the predictive diagnosis of electrical machines and equipment.

yearjournalcountryeditionlanguage
2020-11-06
10.3390/math8111979https://doi.org/10.3390/math8111979