Using Biometrics to Understand AI-Assisted Coding Performance and its Perception: a Registered Report
Year: 2025
Type: preprint
Study design: Study Protocol
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.
Authors: Nadja Brix Koch, Theis Helth Stensgaard, Paolo Tell, Paolo Burelli, Guillaume Andrea Desaphy, Alberto Antonio Romano, Nicole Novielli, Fabio Calefato
Institutions: IT University of Copenhagen, University of Bari Aldo Moro
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4412413886