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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
Published on: January 23, 2017
The effect of task order predictability in audio-visual dual task performance: Just a central capacity limitation?
Thomas Töllner1, Tilo Strobach, Torsten Schubert
1Department of Psychology, Ludwig-Maximilians-Universität München Munich, Germany.
Frontiers in Integrative Neuroscience
|September 14, 2012
Summary
This study used electroencephalography to investigate the Psychological Refractory Period (PRP) effect. Findings reveal that task predictability and stimulus onset asynchrony influence both perceptual and motor processing speeds, refining the central bottleneck model.
Area of Science:
- Cognitive Neuroscience
- Psychology
- Human Factors
Background:
- The Psychological Refractory Period (PRP) effect describes dual-task interference, traditionally attributed to a central bottleneck.
- Previous research linked PRP behavioral outcomes solely to central processing limitations.
Purpose of the Study:
- To investigate the electrophysiological origins of behavioral PRP effects using event-related potentials.
- To differentiate the roles of task order predictability (TOP) and stimulus onset asynchrony (SOA) on perceptual and motor stages.
Main Methods:
- Utilized 2-alternative forced-choice (2AFC) auditory and visual tasks with varying SOA and task order predictability.
- Measured electroencephalography (EEG) to analyze the Paced Contingent Negative Variation (PCN) for perception and the Lateralized Readiness Potential (LRP) for motor execution.
Main Results:
- Task order predictability (TOP) and SOA interactively modulated perceptual processing speed (PCN timing) for both tasks.
- Motor response execution (LRP timing) was independently affected by TOP for the first task and SOA for the second task.
Conclusions:
- Behavioral PRP effects arise from modulations in both perceptual and motor processing dynamics, not solely central bottlenecks.
- Electrophysiological evidence supports a more nuanced understanding of dual-task interference, integrating capacity limitations with processing speed variations.
