Comparing drift-diffusion modeling and finger tracking as a window into decision-making in handball penalty...

Area of Science:

• Cognitive Psychology
• Computational Neuroscience
• Human-Computer Interaction

Background:

• Split-second decision-making is vital in high-stakes fields like sports and aviation.
• Drift-diffusion modeling (DDM) and finger tracking are methods to study decision evolution.
• Comparing these methods is crucial for understanding decision processes.

Purpose of the Study:

• To compare the efficacy of DDM and finger tracking in analyzing split-second decision-making.
• To investigate modality-invariant decision processes in a handball penalty task.
• To determine which method better reflects decision evolution across different response types.

Main Methods:

• Applied DDM and optical motion capture for finger tracking (pointing and swiping).
• Analyzed decision-making in an anticipatory handball penalty task with temporal occlusion.
• Calculated DDM parameters and finger tracking metrics (AUC, velocity, entropy).

Main Results:

• DDM accurately mirrored decision-making processes and reflected modality differences in non-decision time.
• DDM showed consistent correlations between pointing and swiping response modalities.
• Finger tracking metrics were inconsistent across modalities and failed to identify modality effects.

Conclusions:

• DDM offers more robust and modality-invariant insights into decision-making than finger tracking.
• DDM effectively models the temporal dynamics of decision-making across different response modalities.
• Finger tracking is less suitable for capturing modality-invariant decision processes.