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

  • Nadja Brix Koch
    ,
  • Theis Helth Stensgaard
    ,
  • ,
  • ,
  • Guillaume Andrea Desaphy
    ,
  • Alberto Antonio Romano
Research Output:
Contribution to conference - NOT published in proceeding or journal
Paper
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to conference - NOT published in proceeding or journal
Paper
Peer-review

Original language

English

Publication milestones

  • Accepted/In press - 2025
  • Published - 2025

Publication status

Published - 2025

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.

Related Event

Title

International Symposium on Empirical Software Engineering and Measurement

Event type

Symposium

Date

28/09/2025 - 03/12/2025

Location

HonululuUnited States