Amount of Learning and Signal Stability Modulate Emergence of Structure and Iconicity in Novel Signaling Systems

Iterated language learning experiments that explore the emergence of linguistic structure in the laboratory vary considerably in methodological implementation, limiting the generalizability of findings. Most studies also restrict themselves to exploring the emergence of combinatorial and compositional structure in isolation. Here, we use a novel signal space comprising binary auditory and visual sequences and manipulate the amount of learning and temporal stability of these signals. Participants had to learn signals for meanings differing in size, shape, and brightness; their productions in the test phase were transmitted to the next participant. Across transmission chains of 10 generations each, Experiment 1 varied how much learning of auditory signals took place, and Experiment 2 varied temporal stability of visual signals. We found that combinatorial structure emerged only for auditory signals, and iconicity emerged when the amount of learning was reduced, as an opportunity for rote-memorization hampers the exploration of the iconic affordances of the signal space. In addition, compositionality followed an inverted u-shaped trajectory raising across several generations before declining again toward the end of the transmission chains. This suggests that detection of systematic form-meaning linkages requires stable combinatorial units that can guide learners toward the structural properties of signals, but these combinatorial units had not yet emerged in these unfamiliar systems. Our findings underscore the importance of systematically manipulating training conditions and signal characteristics in iterated language learning experiments to study the interactions between the emergence of iconicity, combinatorial and compositional structure in novel signaling systems.     

Socio-economic status,executive functions,and theory of mind ability in adolescents: Relationships with language ability and cortisol

Socio-economic status (SES) is linked to the development of cognitive abilities, particularly language and executive processes. It is unclear whether these represent a single or independent correlates. We studied 110 Ecuadorian youths aged 12–17 with measures of SES, language, executive function, and theory of mind (ToM), a.k.a. mentalizing. A subsample gave hair samples to estimate recent cortisol levels. Restricting analyses to reliable measures, SES was highly associated with language skill, and to a lesser extent with executive function and ToM performance. However, those latter associations were attenuated and non-significant when language ability was controlled for statistically. Systemic cortisol levels were not associated with SES, but were significantly and negatively correlated with ToM, independent of variation in language skills. We conclude that language development underlies most of the impact of SES on executive function and ToM ability of adolescents, but that stress-related cortisol may have an independent, direct effect on mentalizing.     

二语具身认知：自动激活还是母语中介?

语言具身认知强调语言加工不是纯粹抽象符号的内部表征, 身体和环境也在其中发挥着重要作用。已有研究多来自母语(L1)领域, 二语(L2)认知中是否存在该效应及其发生机制依然存在争论。在总结行为和神经电生理学方面L2具身效应的存在的证据的基础上, 结合相关研究, 我们提出“自动激活”和“母语中介”两种假说, 并分析和评价两种假说的优缺点和影响因素。最后讨论了该领域存在的问题并就未来研究取向进行展望, 希望有助于完善语言具身认知理论, 增进对双语表征机制的了解, 有效提升L2教学。     

第二语言学习者形态复杂词的加工机制

大多数语言中, 形态复杂词所占的比例很高。形态复杂词形-义映射的规律性使得读者不仅能直接从心理词典中提取整词语义, 还可以利用形态规则来建构词语的语义。研究发现, 母语者可以利用形态规则来加工复杂词, 但第二语言(二语)学习者的研究结果存在较大的分歧, 且表现出和母语者不一样的结果模式。基于补充学习系统理论和情景性二语者假设, 我们尝试提出了二语形态复杂词加工机制的观点, 并据此解释研究分歧出现的原因。未来的研究需要探究词汇形态家族大小等因素对二语形态复杂词加工的影响, 以及揭示二语形态复杂词加工的神经机制。     

整体运动知觉老化的方向不同步性及其总效应

采用随机点阵范式和实验内元分析技术,首次分离水平、垂直、旋转和径向运动形式下两两对立方向的运动一致性阈值,探究整体运动知觉(GMP)老化的方向不同步性及总效应。结果发现:四种运动形式下,老年组阈值均显著高于青年组,且元分析显示两组阈值之差的效应量大于0,表明相对于青年人,老年人的GMP存在显著下降。同时,老年组向右、向下、顺时针和外扩方向的阈值显著高于其对立方向及青年组,表明老年人这些方向的GMP衰退更加严重,提示GMP的老化存在方向不同步性。     

Using Statistical Models of Morphology in the Search for Optimal Units of Representation in the Human Mental Lexicon

Determining optimal units of representing morphologically complex words in the mental lexicon is a central question in psycholinguistics. Here, we utilize advances in computational sciences to study human morphological processing using statistical models of morphology, particularly the unsupervised Morfessor model that works on the principle of optimization. The aim was to see what kind of model structure corresponds best to human word recognition costs for multimorphemic Finnish nouns: a model incorporating units resembling linguistically defined morphemes, a whole‐word model, or a model that seeks for an optimal balance between these two extremes. Our results showed that human word recognition was predicted best by a combination of two models: a model that decomposes words at some morpheme boundaries while keeping others unsegmented and a whole‐word model. The results support dual‐route models that assume that both decomposed and full‐form representations are utilized to optimally process complex words within the mental lexicon.     

Improving compliance with medical fitness to drive reviews: The role of behaviourally-optimised letters

To manage the increased crash risk posed by drivers with medical conditions and impairments, many licensing authorities ask high-risk drivers to undergo medical fitness to drive assessments. Maximising drivers’ compliance and satisfaction with these assessments is an ongoing challenge for these authorities. This study tested whether drivers’ compliance and satisfaction with a licensing authority’s request to provide a medical report could be improved by incorporating two applied behaviour change principles – simplified messaging and procedural fairness – into the authority’s request letter. Drivers undergoing medical review (N = 876) were assigned to receive either a standard request letter currently used by the authority, or a revised letter that incorporated simplified messaging and procedural fairness amendments. Drivers who received the revised letter were significantly more likely to submit a medical report by the due date. Additionally, of the drivers who submitted the report, those who received the revised letter submitted the report an average of four days faster than those who received the standard letter. These findings demonstrate that optimising letters using behavioural principles can improve compliance with licensing authorities’ requests, resulting in substantial time and cost savings for licensing authorities, possible road safety benefits, and potential reductions in the number of licences suspended for failure to provide a report.