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Modeling confidence and response time in associative recognition.

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Summary
This summary is machine-generated.

This study applies the RTCON2 diffusion model to associative recognition tasks, explaining ROC curve shapes and reaction times. The model successfully distinguishes decision information from response strategies, though it doesn't fit all subjects.

Keywords:
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Area of Science:

  • Cognitive Psychology
  • Computational Neuroscience
  • Memory Research

Background:

  • Receiver Operating Characteristic (ROC) curve shapes are crucial for memory models.
  • Reaction times (RTs) associated with confidence judgments are often overlooked in ROC analysis.
  • The RTCON2 diffusion model offers an alternative explanation for ROC curve shapes based on response boundaries and RTs.

Purpose of the Study:

  • To test the RTCON2 diffusion model's ability to explain non-linear z-ROC functions in associative recognition tasks.
  • To investigate how the model accommodates individual differences in z-ROC shapes.
  • To assess the model's capacity to simultaneously fit z-ROC functions and reaction time distributions.

Main Methods:

  • Application of the RTCON2 diffusion model to behavioral data from associative recognition experiments.
  • Analysis of confidence judgments and associated reaction times.
  • Fitting the model to various z-ROC curve shapes and reaction time distributions.

Main Results:

  • The RTCON2 model successfully fit and explained diverse z-ROC shapes and individual differences in associative recognition.
  • The model effectively accounted for reaction time distributions alongside ROC functions.
  • The model differentiated between variations in decision-related information and response strategies (boundary setting).

Conclusions:

  • The RTCON2 model provides a robust framework for understanding memory processes by integrating confidence judgments and reaction times.
  • The model's success in associative recognition tasks supports its generalizability beyond item recognition.
  • Limitations in fitting data from a subset of subjects suggest potential boundary conditions or alternative processes in memory.