The role of perceptual and semantic elaboration in high- and low-imagery sentence recall

Sentence imagery effects in recall are predicted by both perceptual and semantic elaboration models. The former attributes superior recall of high-imagery sentences to the addition of perceptual network components to an existing semantic network; the latter claims that additions of semantic components are involved. In order to identify the responsible components, free associates were generated to otherwise similar high- and low-imagery sentences in a short-term memory task. In accordance with the perceptual elaboration model, associates differed in rated imagery, but not in number. In a second study, the causal role of perceptual elaboration in recall was investigated by using high- and low-imagery sentence associates as recall cues. Differential effects of cue imagery were found for high-imagery sentences, indicating that perceptual codes are in part responsible for superior high-imagery sentence recall. Evidence is presented that perceptual and semantic network components are involved in a processing trade-off, and the adequacy of present network models to explain it is discussed.