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September 24, 2025Behavior Research MethodsOpen Access

Exploring the synthesis of mouse cursor tracking and drift diffusion modeling in a perceptual decision-making task

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Authors

OGOliver GrenkeTechnische Universität Dresden SSStefan ScherbaumTechnische Universität Dresden MSMartin SchoemannTechnische Universität Dresden

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Implication

This study integrates mouse cursor tracking and drift diffusion modeling to enhance decision-making insights, suggesting improved predictions with fewer trials.

Key Points

Combining mouse cursor tracking and the drift diffusion model improves efficiency in decision-making analysis.
Four significant cursor measures were identified that enhance the prediction of DDM parameters.
The application of mouse cursor tracking reduces trial requirements for effective model fitting.
This approach facilitates novice researchers' access to effective behavioral analysis methods in decision-making.

Cite This Study

Grenke et al. (2025) studied this question.

synapsesocial.com/papers/68d6e1978b2b6861e4c403a8 https://doi.org/10.3758/s13428-025-02805-0

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Implication

This study integrates mouse cursor tracking and drift diffusion modeling to enhance decision-making insights, suggesting improved predictions with fewer trials.

Exploring the synthesis of mouse cursor tracking and drift diffusion modeling in a perceptual decision-making task

Discussion

Member takes

Implication

Key Points

Cite This Study

Exploring the synthesis of mouse cursor tracking and drift diffusion modeling in a perceptual decision-making task

Discussion

Member takes

Implication

Key Points

Cite This Study

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