王昊 - 南京师范大学

个人简介

王昊（1990-），男，美国认知心理科学协会（Society for the Cognitive Science）会员、美国语言发展协会（Society for Language Development）会员。 2012年本科毕业于美国卫斯理安大学；2016年博士毕业于美国南加州大学，并在美国宾夕法尼亚大学受到博士后训练；2018年入职内华达大学做助理教授；2022年入职南京师范大学心理学院。当前工作基于学习者对于输入的语言信息如何计算的问题展开研究，研究理论侧重于学习者如何通过分析输入的语言序列的结构来学习语言。基于学习机制在语言习得中的作用，整合了一系列计算建模、行为研究、发展心理学和认知神经科学技术，通过行为实验、计算建模和脑电成像等方法，深入探究个体在不同生命阶段学习语言的心理加工过程及其影响因素。以第一作者在《Cognition》、《Cognitive Psychology》等期刊发表多篇学术论文。主讲课程发展心理学（本科生）社会工作美国认知心理科学协会（Society for the Cognitive Science）会员美国语言发展协会（Society for Language Development）会员

研究领域

研究属于心理学，语言学，人工智能等多领域交叉的方向。

近期论文

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Wang, F. H., & Kaiser, E. (2022). Linguistic Priming and Learning Adjacent and Non-Adjacent Dependencies in Serial Reaction Time Tasks. Language Learning. Wang, F. H. & Trueswell, J. C. (2022). Being Suspicious of Suspicious Coincidences: The Case of Learning Subordinate Word Meanings. Cognition, 224, 105028. Wang, F. H. (2020). Explicit and implicit memory representations in cross-situational word learning. Cognition, 104, 104444. Wang, F. H., Zevin, J. D., Trueswell, J. C., & Mintz, T. H. (2020). Top-down grouping affects adjacent dependency learning. Psychonomic Bulletin & Review, 27(5), 1052-1058. Wang, F. H., & Trueswell, J. C. (2019). Spotting Dalmatians: Children’s ability to discover subordinate-level word meanings cross-situationally. Cognitive Psychology, 114, 101226. Wang, F. H., Zevin, J., & Mintz, T. H. (2019). Successfully learning non-adjacent dependencies in a continuous artificial language stream. Cognitive Psychology, 113, 101223. Wang, F. H., Hutton, E. A., & Zevin, J. D. (2019). Statistical Learning of Unfamiliar Sounds as Trajectories Through a Perceptual Similarity Space. Cognitive Science, 43(8), e12740. Wang, F. H., & Mintz, T. H. (2018). The role of reference in cross-situational word learning. Cognition, 170, 64-75. Wang, F. H., & Mintz, T. H. (2018). Learning non-adjacent dependencies embedded in sentences of an artificial language: When learning breaks down. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44(4), 604. Wang, F. H., Zevin, J. D., & Mintz, T. H. (2017). Top-down structure influences learning of nonadjacent dependencies in an artificial language. Journal of Experimental Psychology: General, 146(12), 1738. Wang, F. H. & Mintz, T. H. (2016). Language acquisition is model-based rather than model-free. Behavioral and Brain Sciences, 39. Mintz, T. H., Wang, F. H., & Li, J. (2014). Word categorization from distributional information: Frames confer more than the sum of their (Bigram) parts. Cognitive Psychology, 75, 1-27.