File(s) not publicly available
Intentional control based on familiarity in artificial grammar learning
journal contribution
posted on 2023-06-07, 18:13 authored by Lulu Wan, Zoltan DienesZoltan Dienes, Xiaolan FuIt is commonly held that implicit learning is based largely on familiarity. It is also commonly held that familiarity is not affected by intentions. It follows that people should not be able to use familiarity to distinguish strings front two different implicitly learned grammars. In two experiments, subjects were trained on two grammars and then asked to endorse strings from only one of the grammars. Subjects also rated how familiar each string felt and reported whether or not they used familiarity to make their grammatically judgment. We found subjects Could endorse the strings of just One grammar and ignore the strings from the other. Importantly, when subjects said they were using familiarity, the rated familiarity for test strings consistent with their chosen grammar was greater than that for strings from the other grammar. Familiarity, subjectively defined, is sensitive to intentions and can play a key role in strategic control. (c) 2008 Elsevier Inc. All rights reserved.
History
Publication status
- Published
Journal
Consciousness and CognitionISSN
1053-8100Publisher
ElsevierExternal DOI
Issue
4Volume
17Page range
1209-1218Pages
10.0Department affiliated with
- Psychology Publications
Full text available
- No
Peer reviewed?
- Yes