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-reviewOpen access
Publication Information
Output type
Research Output:
Contribution to conference - NOT published in proceeding or journal
Paper
Peer-reviewOriginal language
EnglishPublication 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.
Access to documents
Submitted manuscript, 559.71 KB
Related Event
Title
International Symposium on Empirical Software Engineering and Measurement
Event type
SymposiumDate
28/09/2025 - 03/12/2025Location
HonululuUnited States
