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Asymmetric interference between concurrent tasks: an evaluation of competing explanatory models
J S Caroselli1, M Hiscock, T Roebuck
1Department of Psychology, University of Houston, Texas 77204-5341, USA.
Neuropsychologia
|April 1, 1997
Summary
This study investigated cognitive and manual task interference, challenging existing cerebral hemisphere models. Results indicate performance tradeoffs, not hemispheric specialization, explain observed asymmetries.
Area of Science:
- Cognitive Neuroscience
- Neuropsychology
- Human Performance
Background:
- Kinsbourne's functional cerebral distance model posits asymmetric interference between cognitive and manual tasks reflects hemispheric specialization.
- Alternative models include statistical bias, manual dominance, and a two-factor model combining distance and dominance.
- Previous research has not definitively resolved the underlying mechanisms of task interference.
Purpose of the Study:
- To evaluate competing models explaining asymmetric interference between concurrent cognitive and manual tasks.
- To determine if functional cerebral distance, manual dominance, or a combination explains interference patterns.
- To investigate the role of cognitive load and manual task difficulty in modulating interference.
Main Methods:
- Four experiments were conducted with right- and left-handed university students.
- Manual dominance was reversed by assigning the dominant hand to the more difficult manual task.
- Cognitive load of the nonmanual task was systematically varied within each experiment.
Main Results:
- The results did not support Kinsbourne's functional cerebral distance model or the alternative models.
- Observed asymmetries in performance were primarily attributed to tradeoffs between manual and nonmanual task execution.
- No significant evidence for hemispheric specialization or manual dominance as the sole explanatory factor was found.
Conclusions:
- Current models of cognitive-manual task interference require revision.
- Future research must measure performance on both tasks and ensure sensitivity to inter-task interference for accurate interpretation.
- Tradeoffs in performance capacity between concurrent tasks are a crucial factor in observed interference patterns.