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Related Experiment Videos

Right-left prevalence with task-irrelevant spatial codes.

Sandro Rubichi1, Roberto Nicoletti, Carlo Umiltà

  • 1Dipartimento di Scienze Sociali, Cognitive e Quantitative, Università di Modena e Reggio Emilia, Via Giglioli Valle 9, 42100 Reggio Emilia, Italy. rubichi@unimore.it

Psychological Research
|December 15, 2004
PubMed
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The Simon task reveals a right-left prevalence effect due to automatic spatial coding. Horizontal spatial coding, using multiple codes, appears more prevalent than vertical coding.

Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Human-Computer Interaction

Background:

  • The Simon task is a widely used paradigm to study stimulus-response compatibility.
  • Spatial information, even when irrelevant, can automatically influence behavior.
  • Previous research has primarily focused on the horizontal Simon effect.

Purpose of the Study:

  • To investigate the right-left prevalence effect in a two-dimensional Simon task.
  • To explore the underlying spatial coding mechanisms for horizontal and vertical dimensions.
  • To determine if horizontal coding is more prevalent due to its reliance on multiple spatial codes.

Main Methods:

  • Utilized a two-dimensional Simon task with irrelevant spatial information.
  • Employed varying stimulus-response sets, including two-dimensional sets.

Related Experiment Videos

  • Tested tasks with two contralateral effectors and four effectors.
  • Analyzed the prevalence of horizontal and vertical Simon effects.

    • Main Results:

    • Demonstrated both horizontal and vertical Simon effects in a two-dimensional task.
    • Confirmed the right-left prevalence effect across different effector configurations.
    • Found evidence that horizontal coding relies on multiple spatial codes, unlike vertical coding.
    • Identified a single spatial code for vertical coding.

    Conclusions:

    • The right-left prevalence effect is a general phenomenon in spatial coding.
    • The horizontal dimension's prevalence stems from its basis in multiple spatial codes.
    • Findings contribute to understanding automatic spatial processing and its dimensional biases.