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Measuring the Switch Cost of Smartphone Use While Walking
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Published on: April 30, 2020

Increasing the difficulty of response selection does not increase the switch cost.

Baptist Liefooghe1, Frederick Verbruggen

  • 1Ghent University, Ghent, Belgium. baptist.liefooghe@ugent.be

Canadian Journal of Experimental Psychology = Revue Canadienne De Psychologie Experimentale
|December 23, 2009
PubMed
Summary

This study investigated task switching costs, finding that response selection difficulty, influenced by the Spatial Numerical Association of Response Codes (SNARC) effect, does not impact task-switch costs. This supports theories separating basic task processes from task-switch processes.

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Area of Science:

  • Cognitive psychology
  • Human-computer interaction
  • Neuroscience

Background:

  • Task switching theories often exclude basic processes like stimulus identification and response selection from contributing to task-switch costs.
  • Previous research indicated stimulus-identification manipulations do not affect switch cost size.

Purpose of the Study:

  • To investigate the influence of response-selection difficulty on task-switch costs.
  • To determine if manipulating response selection impacts the magnitude of task-switch costs.

Main Methods:

  • Manipulated response selection difficulty using the Spatial Numerical Association of Response Codes (SNARC) effect in numerical-judgement tasks.
  • Measured task-switch costs under conditions of SNARC compatibility and incompatibility.

Main Results:

  • Observed both a SNARC effect and a task-switch cost.
  • Found no interaction between the SNARC effect and task-switch cost; switch costs were equivalent for compatible and incompatible responses.
  • Demonstrated that response selection difficulty did not modulate the size of the switch cost.

Conclusions:

  • Response selection processes on the current trial do not contribute to the task-switch cost.
  • Provides further evidence for the separation of basic task processes and task-switch processes in cognitive models.