Associative recognition—the ability to discriminate between
studied and novel associations—has been attributed to the operation
of a recall-like process that is not engaged during
recognition of single items. An alternative mechanism for associative
recognition is the formation of a compound memory
cue that incorporates relational information between the two
elements of the association. These alternatives make different
predictions about the dynamics of associative recognition as
revealed by speed-accuracy trade-off (SAT) functions: if recall
were operating, SAT functions should approach asymptotic
performance at a faster rate for stronger associations, whereas
a compound cue mechanism predicts that only asymptotic performance,
not rate, should be affected by strength. In a review
of the literature, we find that only asymptotic performance,
not rate, is affected by the strength of studied associations,
supporting the operation of a compound cue mechanism. We
present a formal model of this mechanism as a direct outgrowth
of a model of single-item recognition (Cox & Shiffrin, 2012)
and use it to predict observed SAT curves for both single-item
and associative recognition in a variety of experiments