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Daniele Gatti1, Marco Marelli2,3, Luca Rinaldi1,4

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Mouse-tracking reveals how semantic information influences decision-making conflict. This method detects cognitive conflict in real-time, showing the impact of semantic memory on choices.

Keywords:
Distributional semantic modelsHand movementsMouse-trackingSemantic memorySemantic relatedness

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Area of Science:

  • Cognitive Psychology
  • Computational Linguistics
  • Human-Computer Interaction

Background:

  • Mouse-tracking is a valuable tool for studying decision-making in real-time.
  • The influence of purely semantic information on motor output conflict remains unclear.

Purpose of the Study:

  • To investigate if semantic knowledge affects response conflict measured by mouse movements.
  • To assess the utility of mouse-tracking in detecting cognitive conflict during decision-making tasks.

Main Methods:

  • Two experiments were conducted using word pairs requiring abstract/concrete choices.
  • Experiment 1 used keyboard responses; Experiment 2 used mouse movements for response selection.
  • Distributional semantics, a usage-based meaning model, was employed to predict performance.

Main Results:

  • Semantic components influencing tasks were observable via reaction times (Experiment 1) and mouse trajectories (Experiment 2).
  • Mouse trajectories reflected response conflict and its temporal dynamics, increasing with word semantic relatedness.
  • Cognitive conflict levels were explained by a usage-based model of meaning.

Conclusions:

  • Mouse-tracking is a valid method for detecting implicit decision-making features and cognitive conflict.
  • Semantic memory significantly impacts decision-making processes, as evidenced by mouse movement data.
  • Distributional semantics can model cognitive conflict in decision-making tasks.