Extracting Human Reaction Time from Observations in the Method of Constant Stimuli

Abstract

We consider the psychophysical experiments in which the test subject's binary reaction is determined by the prescribed exposure duration to a stimulus and a random variable subjective threshold. For example, when a subject is exposed to a millimeter wave beam for a prescribed duration, the occurrence of flight action is binary (yes or no). In experiments, in addition to the binary outcome, the actuation time of flight action is also recorded if it occurs; the delay from the initiation time to the actuation time of flight action is the human reaction time, which is not measurable. In this study, we model the random subjective threshold as a Weibull distribution and formulate an inference method for estimating the human reaction time, from data of prescribe exposure durations, binary outcomes and actuation times of flight action collected in a sequence of tests. Numerical simulations demonstrate that the inference of human reaction time based on the Weibull distribution converges to the correct value even when the underlying true model deviates from the inference model. This robustness of the inference method makes it applicable to real experimental data where the underlying true model is unknown.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 11, 2022
Accession Number
AD1191907

Entities

People

  • Hong Zhou
  • Hongyun Wang
  • Maryam Adamzadeh
  • Shannon E. Foley
  • Wesley A. Burgei

Organizations

  • Naval Postgraduate School
  • University of California

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Applied Mathematics
  • Computational Science
  • Data Science
  • Data Sets
  • Electromagnetic Radiation
  • Experimental Data
  • Experimental Design
  • Human Factors Engineering
  • Information Science
  • Mathematics
  • Maximum Likelihood Estimation
  • Millimeter Waves
  • Monte Carlo Method
  • Normal Distribution
  • Operations Research
  • Probability
  • Random Variables
  • Reaction Time
  • Simulations
  • Standards
  • Statistics

Readers

  • Artificial Intelligence
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computational Modeling and Simulation

Technology Areas

  • 5G
  • AI & ML
  • AI & ML - Bayesian Inference