AI Agent Autonomy Preference
Information SystemsReliability: alpha 0.843 sample items
About this scale
A multi-item measure of user preference for AI agent autonomy — from fully manual (user controls each step) to fully autonomous (AI acts independently).
Sample item(s)
“I prefer AI tools that act on my behalf without checking with me”
“I want to approve every AI action before it happens (reverse)”
“I am comfortable with AI making decisions for me when appropriate”
Reliability
Reported internal consistency: alpha 0.84. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Increasingly relevant in agentic-AI research.
Source & citation
Roesler, E., Manzey, D., & Onnasch, L. (2021): A meta-analysis on the effectiveness of anthropomorphism in human-robot interaction. Science Robotics, Vol. 6, No. 58, Article eabj5425.
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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