THE EFFECT OF METACOGNITIVE MONITORING ON VISUAL PERCEPTUAL ACCURACY UNDER COGNITIVE LOAD: A SIGNAL DETECTION THEORY APPROACH

Authors

  • Sitora Mirzayeva 3rd-year student at the National University of Uzbekistan

DOI:

https://doi.org/10.5281/zenodo.18136600

Keywords:

metacognitive monitoring; cognitive load; visual perception; signal detection theory; perceptual accuracy; decision criterion

Abstract

This article examines the effect of metacognitive monitoring on visual perceptual accuracy under conditions of cognitive load, using the analytical framework of Signal Detection Theory (SDT). Visual perception often operates in environments characterized by limited attentional and cognitive resources. Previous research demonstrates that cognitive load degrades perceptual sensitivity, while metacognitive monitoring—individuals’ ability to evaluate and regulate their own cognitive processes—can partially compensate for such degradation. By integrating SDT parameters (sensitivity d′ and decision criterion c) with metacognitive judgments (confidence ratings and monitoring accuracy), this study synthesizes empirical findings from cognitive psychology and neuroscience. The analysis shows that increased cognitive load reduces perceptual sensitivity but that effective metacognitive monitoring improves decision calibration and reduces false alarms. The findings highlight the importance of metacognition as a regulatory mechanism in perceptual decision-making under resource constraints.

References

Flavell, J. H. (1979). Metacognition and cognitive monitoring. American Psychologist, 34(10), 906–911, pp. 906–907.

Sweller, J. (1988). Cognitive load during problem solving. Cognitive Science, 12(2), 257–285, pp. 258–260.

Lavie, N. (2005). Distracted and confused? Selective attention under load. Trends in Cognitive Sciences, 9(2), 75–82, pp. 76–78.

Nelson, T. O., & Narens, L. (1990). Metamemory: A theoretical framework. Psychology of Learning and Motivation, 26, 125–173, pp. 128–130.

Green, D. M., & Swets, J. A. (1966). Signal Detection Theory and Psychophysics. New York: Wiley, pp. 15–20.

Maniscalco, B., & Lau, H. (2012). A signal detection theoretic approach to metacognition. Psychological Review, 119(1), 190–208, pp. 192–195.

Fleming, S. M., & Lau, H. (2014). How to measure metacognition. Frontiers in Human Neuroscience, 8, 443, pp. 444–446.

de Fockert, J. W., et al. (2001). The role of working memory in visual selective attention. Science, 291(5509), 1803–1806, pp. 1804–1805.

Fleming, S. M., et al. (2010). Relating introspective accuracy to individual differences in brain structure. Science, 329(5998), 1541–1543, pp. 1542.

Rounis, E., et al. (2010). Theta-burst TMS impairs metacognitive visual awareness. Current Biology, 20(17), 1638–1642, pp. 1639–1640.

Lau, H., & Passingham, R. E. (2006). Relative blindsight in normal observers. PNAS, 103(49), 18763–18768, pp. 18764–18765.

Wickens, C. D. (2008). Multiple resources and mental workload. Human Factors, 50(3), 449–455, pp. 450–452.

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Published

2025-12-31

How to Cite

Mirzayeva, S. (2025). THE EFFECT OF METACOGNITIVE MONITORING ON VISUAL PERCEPTUAL ACCURACY UNDER COGNITIVE LOAD: A SIGNAL DETECTION THEORY APPROACH. Science and Innovation in the Education System, 4(15), 129-135. https://doi.org/10.5281/zenodo.18136600