title: Effect of explicit dimensional instruction on speech category learning.
abstract: Learning nonnative speech categories is often considered a challenging task in adulthood. This difficulty is driven by cross-language differences in weighting critical auditory dimensions that differentiate speech categories. For example, previous studies have shown that differentiating Mandarin tonal categories requires attending to dimensions related to pitch height and direction. Relative to native speakers of Mandarin, the pitch direction dimension is underweighted by native English speakers. In the current study, we examined the effect of explicit instructions (dimension instruction) on native English speakers' Mandarin tone category learning within the framework of a dual-learning systems (DLS) model. This model predicts that successful speech category learning is initially mediated by an explicit, reflective learning system that frequently utilizes unidimensional rules, with an eventual switch to a more implicit, reflexive learning system that utilizes multidimensional rules. Participants were explicitly instructed to focus and/or ignore the pitch height dimension, the pitch direction dimension, or were given no explicit prime. Our results show that instruction instructing participants to focus on pitch direction, and instruction diverting attention away from pitch height, resulted in enhanced tone categorization. Computational modeling of participant responses suggested that instruction related to pitch direction led to faster and more frequent use of multidimensional reflexive strategies and enhanced perceptual selectivity along the previously underweighted pitch direction dimension.
authors.affiliation: Department of Communication Sciences and Disorders, The University of Texas at Austin, 2504A Whitis Ave., Austin, TX, 78712, USA. bchandra@utexas.edu.|Department of Psychology, The University of Texas at Austin, 2504A Whitis Ave., Austin, TX, 78712, USA. bchandra@utexas.edu.
authors.forename: Bharath
authors.initials: B
authors.lastname: Chandrasekaran
authors.affiliation: Department of Communication Sciences and Disorders, The University of Texas at Austin, 2504A Whitis Ave., Austin, TX, 78712, USA.
authors.forename: Han-Gyol
authors.initials: HG
authors.lastname: Yi
authors.affiliation: Department of Psychology, The University of Texas at Austin, 2504A Whitis Ave., Austin, TX, 78712, USA.
authors.forename: Kirsten E
authors.initials: KE
authors.lastname: Smayda
authors.affiliation: Department of Psychology, The University of Texas at Austin, 2504A Whitis Ave., Austin, TX, 78712, USA.
authors.forename: W Todd
authors.initials: WT
authors.lastname: Maddox
mesh_terms: D000161:Acoustic Stimulation / Q000379:methods*; D000328:Adult; D001288:Attention / Q000502:physiology; D005260:Female; D006801:Humans; D007802:Language; D007858:Learning / Q000145:classification* / Q000502:physiology*; D008297:Male; D013060:Speech / Q000145:classification* / Q000502:physiology*; D013067:Speech Perception / Q000502:physiology*
keywords: Category learning; Computational modeling; Dual-learning systems; Instruction