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Experimental Assessment of Mouse Sociability Using an Automated Image Processing Approach
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Mice move smoothly: irrelevant object variation affects perception, but not computer mouse actions.

Markus Janczyk1, Roland Pfister, Wilfried Kunde

  • 1Department of Psychology III, University of Würzburg, Röntgenring 11, 97070, Würzburg, Germany, markus.janczyk@uni-wuerzburg.de.

Experimental Brain Research
|August 20, 2013
PubMed
Summary
This summary is machine-generated.

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Human-computer interaction movements, like mouse use, are robust to irrelevant target changes, similar to natural actions. This suggests virtual tool control uses the same brain mechanisms as real-world movements.

Area of Science:

  • Cognitive Psychology
  • Human-Computer Interaction
  • Motor Control

Background:

  • Human-computer interactions (HCI) place unique demands on the motor system.
  • Virtual tool transformations in HCI mirror aspects of natural movements.
  • Understanding how the brain controls these transformed movements is crucial for HCI design.

Purpose of the Study:

  • To investigate if virtual tool-transformed movements in HCI are resistant to irrelevant target variations.
  • To compare the robustness of virtual tool movements to that of skilled natural movements.
  • To explore the underlying control mechanisms of virtual tool use in HCI.

Main Methods:

  • Participants performed tasks involving virtual tool transformations (e.g., mouse movements).
  • The study assessed movement parameters and performance in perceptual tasks under varying levels of irrelevant target information.

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Last Updated: May 8, 2026

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  • Comparison was made between performance with virtual tools and skilled natural movements.

    • Main Results:

    • Irrelevant information significantly impaired performance in perceptual tasks.
    • Movement parameters, however, remained largely unaffected by irrelevant information.
    • This suggests that the control of virtual tools shares mechanisms with natural actions.

    Conclusions:

    • The control of virtual tools in HCI appears to utilize similar neural mechanisms as natural actions.
    • Findings support the integration of tools into the body schema and the action/perception model.
    • Results have practical implications for designing more intuitive and effective HCI systems.