Nonlinear Dynamics of Reaction Time and Time Estimation during Repetitive Test

Elena Ioana Iconaru, Manuela Mihaela Ciucurel, Mariana Tudor and Constantin Ciucurel
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Elena Ioana Iconaru: Department of Medical Assistance and Physical Therapy, University of Pitesti, 110040 Pitesti, Romania
Manuela Mihaela Ciucurel: Department of Psychology, Communication Sciences and Social Assistance, University of Pitesti, 110040 Pitesti, Romania
Mariana Tudor: Department of Medical Assistance and Physical Therapy, University of Pitesti, 110040 Pitesti, Romania
Constantin Ciucurel: Department of Medical Assistance and Physical Therapy, University of Pitesti, 110040 Pitesti, Romania

IJERPH, 2022, vol. 19, issue 3, 1-16

Abstract: (1) Background: In this research, we aimed to investigate a computational model of repetitive reaction time (RT) and virtual reaction time (VRT) testing. (2) Methods: The study involved 180 subjects (50 men, 130 women, mean age 31.61 ± 13.56 years). The data were statistically analyzed through the coefficient of variation (CV) and the Poincaré plot indicators. (3) Results: We obtained an excellent level of reliability for both sessions of testing and we put into evidence a relationship of association of the RT and VRT with the subjects’ age, which was more pregnant for RT ( p < 0.05). For both RT and VRT data series, we determined a consistent closer association between CV and the Poincaré plot descriptors SD 1 , SD 2 (SD—standard deviation), and the area of the fitting ellipse (AFE) ( p < 0.01). We reported an underestimation of the time interval of 2 s during the VRT session of testing, with an average value of CV of VRT, the equivalent of the Weber fraction, of 15.21 ± 8.82%. (4) Conclusions: The present study provides novel evidence that linear and nonlinear analysis of RT and VRT variability during serial testing bring complementary insights to the understanding of complex neurocognitive processes implied in the task execution.

Keywords: reaction time; time estimation; Weber fraction; temporal variability; nonlinear analysis; Poincaré plot (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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