Anthropomorphism Toward AI
Information SystemsReliability: alpha 0.884 sample items
About this scale
A multi-item measure of the tendency to attribute human-like characteristics — intentions, emotions, mind — to AI agents (chatbots, voice assistants, LLMs). Predicts trust, attachment, over-reliance, and emotional responses to AI.
Sample item(s)
“The AI assistant has its own intentions.”
“The AI assistant has feelings.”
“The AI assistant has a mind of its own.”
“The AI assistant has free will.”
Reliability
Reported internal consistency: alpha 0.88. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
IDAQ remains the most cited measure. For LLM/chatbot-specific applications see Li & Sung (2021).
Source & citation
Waytz, A., Cacioppo, J., & Epley, N. (2010): Who sees human? The stability and importance of individual differences in anthropomorphism. Perspectives on Psychological Science, Vol. 5, No. 3, pp. 219–232.
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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