TRACE Field Note · November 2026 · Draft
Draft. The totals below partly reflect how many AI papers each field has. A revised note with per-paper rates is in preparation.
What does AI trust research draw from decision science?
A paper on trust in artificial intelligence cites a study of hotel self-service technology. TRACE lets us follow that reference and see where it fits among citations between the two fields.
Which way did the citations travel?
Follow one reference
In 2023, The role of institutional and self in the formation of trust in artificial intelligence technologies cited the 2015 paper Tourist behaviour towards self-service hotel technology adoption: Trust and subjective norm as key antecedents. In TRACE, those papers carry primary field labels of computer science and decision sciences, respectively.
Source DOI · 10.1108/intr-07-2021-0446
Cited DOI · 10.1016/j.tmp.2015.09.002
What would you ask the researchers?
Which ideas about trust in self-service technology carried over into the AI study? A scientist and a stakeholder who works with these systems could examine where that analogy holds. To answer the question, the first step is reading how the authors used the reference.
How TRACE counted this connection
A provisional title screen identified 201 AI-related source records within the 11,339-record historical collection. The source records listed 12,968 references. TRACE mapped 1,702 to eligible records, including 1,117 between different primary fields. Of those, 236 connected this pair in either direction. Each source-to-target link counts once.
Read the indicator methods →