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Determinants of right-left and top-bottom prevalence for two-dimensional spatial compatibility.

K P Vu1, R W Proctor

  • 1Department of Psychological Sciences, Purdue University, West Lafayette, Indiana 47907-1364, USA. kvu@psych.purdue.edu

Journal of Experimental Psychology. Human Perception and Performance
|August 24, 2001
PubMed
Summary
This summary is machine-generated.

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The right-left prevalence effect, where horizontal dimensions dominate vertical ones, is influenced by effector use. Making the vertical dimension more salient can create a top-bottom prevalence effect.

Area of Science:

  • Cognitive Psychology
  • Human-Computer Interaction
  • Perception

Background:

  • The right-left prevalence effect describes the dominance of horizontal over vertical dimensions in stimulus-response tasks.
  • Existing theories attribute this to coding limitations, effector bias, or dimensional salience.

Purpose of the Study:

  • To investigate the underlying mechanisms of the right-left prevalence effect.
  • To determine the roles of effector type and dimensional salience in this phenomenon.

Main Methods:

  • Four experiments were conducted to test different hypotheses regarding the right-left prevalence effect.
  • Manipulations involved varying stimulus and response sets along horizontal and vertical dimensions.
  • The salience of each dimension was experimentally controlled.

Related Experiment Videos

Main Results:

  • The use of right-left effectors was found to be crucial for the right-left prevalence effect.
  • Increased salience of the horizontal dimension via right-left effectors enhances its dominance.
  • A top-bottom prevalence effect was achievable by increasing the salience of the vertical dimension.

Conclusions:

  • Effector type significantly influences dimensional prevalence by modulating salience.
  • The right-left prevalence effect is not solely due to coding limitations but is strongly linked to effector-response associations.
  • Strategic manipulation of dimensional salience can override or establish different prevalence effects.