Human–AI Team Trust (HAT-Trust)
Information SystemsReliability: alpha 0.913 sample items
About this scale
A multi-item measure of trust within a human–AI dyad or team, including trust in the AI teammate's competence, dependability, and good intent. Specifically designed for collaborative human–AI work.
Sample item(s)
“The AI teammate is reliable in performing its part of our shared task”
“The AI teammate's actions consistently support our team's goals”
“I can predict what the AI teammate will do in most situations”
Reliability
Reported internal consistency: alpha 0.91. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Foundational HAT measure; pair with team-trust scales.
Source & citation
McNeese, N. J., Demir, M., Cooke, N. J., & Myers, C. (2018): Teaming with a synthetic teammate: Insights into human-autonomy teaming. Human Factors, Vol. 60, No. 2, pp. 262–273.
McNeese, Demir, Cooke & Myers (2018): Human-autonomy teaming. Human Factors, 60(2), 262–273.
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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