AI Co-Pilot Acceptance
Information SystemsReliability: alpha 0.903 sample items
About this scale
A multi-item measure of acceptance of AI as a 'co-pilot' that augments rather than replaces human work — including in coding, writing, and decision-making.
Sample item(s)
“AI co-pilots make my work better”
“I accept AI co-pilots' suggestions when they help me”
“Working with AI co-pilots feels collaborative”
Reliability
Reported internal consistency: alpha 0.90. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Highly relevant in coding and knowledge-work research.
Source & citation
Peng, S., Kalliamvakou, E., Cihon, P., & Demirer, M. (2023): The impact of AI on developer productivity: Evidence from GitHub Copilot. arXiv:2302.06590.
Source. Scale details are summarised from the publication cited above. Always consult the original source for the full item set, scoring, and permission to use.
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