How automatic is convergence? Evidence from working memory
Author(s) -
Jevon Heath
Publication year - 2017
Publication title -
proceedings of the linguistic society of america
Language(s) - English
Resource type - Journals
ISSN - 2473-8689
DOI - 10.3765/plsa.v2i0.4088
Subject(s) - working memory , convergence (economics) , memory span , short term memory , affect (linguistics) , cognitive psychology , psychology , computer science , cognition , communication , neuroscience , economics , economic growth
Phonetic convergence has been argued to be automatic as well as socially motivated. Previous studies have shown effects of socially-driven factors on working memory (Beilock et al. 2007), suggesting that working memory might mediate the socially-driven and automatic components of convergence. We used Amazon's Mechanical Turk to test convergence toward a voice with lengthened VOT, with short-term and working memory (modified digit span) conditions as well as a control condition. Overall, participants converged in VOT while shadowing, but converged less when working memory was occupied. These results suggest that social factors affect phonetic convergence indirectly, through their effect on working memory load.
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