GenAI Meets Psychometrics: Development and Validation of the Human-AI Collaboration Dynamics Scale and the Generative AI-Research Augmentation Scale

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Authors: Trevor Mahy, Hua Li
Cited by: 1
References: 101

Abstract

This study develops and validates two psychometric scales, namely Human-AI Collaboration Dynamics (HACD) and Generative AI-Research Augmentation (GAI-RA), and examines the role of human-AI collaboration in scale development itself. Data were collected from university staff, doctoral students, master’s students, and research-active undergraduates from 16 English Medium Instruction (EMI) universities in Mainland China, Hong Kong, and Macau. Exploratory factor analysis on one subsample (NA1 = 344) identified underlying dimensions, followed by confirmatory factor analysis on two independent subsamples (NA2 = 344; NB = 447). The HACD scales produced four versions, from a core two-factor to an expanded five-factor structure, providing a flexible measurement toolkit. The GAI-RA scale emerged as a concise, single-factor, five-item measure of GenAI research augmentation. These validated instruments, with excellent psychometric properties, advance the study of human-AI collaboration in academic research and demonstrate that GenAI can be integrated into a psychometrically rigorous scale development and validation process.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Ethics and Social Impacts of AI AI in Service Interactions

Publication details

Journal / source
International Journal of Human-Computer Interaction
Publisher
Informa UK Limited
Volume
42
Issue
19
Pages
1–47
Publication date
26 February 2026
Language
EN