DoctorateOpen Access

Miktar temsillerinde hata izleme

2019
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Advisor: Prof. Dr. Fuat Balcı

Abstract (EN)

This dissertation aims to investigate error monitoring abilities for metric representations of number and space. Error monitoring, which is the ability to judge the accuracy of one's actions, have typically been categorical choice tasks. However, recent evidence in the timing domain suggests that error monitoring in humans also extends to continuous representations of magnitude, indicating that it has informationally richer foundations than previously thought. Considering the common psychometric properties of magnitude representations, I hypothesized that judgments of error direction and subjective confidence would reflect objective performance in other magnitude domains. Over three studies, error monitoring abilities was observed in 1) sequentially presented numerosities, 2) numerosity of simultaneously presented arrays and 3) line lengths. These results indicate that the ability to keep track of the direction and the degree of errors in their magnitude representations is a ubiquitous human trait.

Author

Dr. Yalçın Akın Duyan

How to Cite

Yalçın Akın Duyan (Doctorate thesis). Miktar temsillerinde hata izleme, 2019, Koç University.

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