Impostor Syndrome in Final Year Computer Science Students: An Eye Tracking and Biometrics Study
April 16, 2024 Β· Declared Dead Β· π InteracciΓ³n
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Authors
Alyssia Chen, Carol Wong, Katy Tarrit, Anthony Peruma
arXiv ID
2404.10194
Category
cs.SE: Software Engineering
Cross-listed
cs.HC
Citations
4
Venue
InteracciΓ³n
Last Checked
4 months ago
Abstract
Imposter syndrome is a psychological phenomenon that affects individuals who doubt their skills and abilities, despite possessing the necessary competencies. This can lead to a lack of confidence and poor performance. While research has explored the impacts of imposter syndrome on students and professionals in various fields, there is limited knowledge on how it affects code comprehension in software engineering. In this exploratory study, we investigate the prevalence of imposter syndrome among final-year undergraduate computer science students and its effects on their code comprehension cognition using an eye tracker and heart rate monitor. Key findings demonstrate that students identifying as male exhibit lower imposter syndrome levels when analyzing code, and higher imposter syndrome is associated with increased time reviewing a code snippet and a lower likelihood of solving it correctly. This study provides initial data on this topic and establishes a foundation for further research to support student academic success and improve developer productivity and mental well-being.
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