Using Biometrics to Understand AI-Assisted Coding Performance and its Perception: a Registered Report

  1. Nadja Brix Koch
  2. Theis Helth Stensgaard
  3. Paolo Tell
  4. Paolo Burelli
  5. Guillaume Andrea Desaphy
  6. Alberto Antonio Romano
  7. Nicole Novielli
  8. Fabio Calefato
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Abstract

This paper presents the Stage 1 protocol for a confirmatory study investigating how biometric measurements can reveal cognitive differences in software development with and without AI assistance. We outline the theoretical foundation, specific hypotheses, detailed methodology, and planned analyses that will be conducted to address our research questions. Our study aims to identify and understand the neurophysiological correlates of the cognitive processes involved in AI-assisted programming and how these relate to measurable performance outcomes and developer perceptions.

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  1. Version published to 10.31219/osf.io/mex39_v2 on OSF Preprints
  2. Version published to 10.31219/osf.io/mex39_v1 on OSF Preprints