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Iconic signs are overrepresented in the vocabularies of young deaf children, but it is unclear why. It is possible that iconic signs are easier for children to learn, but it is also possible that adults use iconic signs in child-directed signing in ways that make them more learnable, either by using them more often than less iconic signs or by lengthening them. We analyzed videos of naturalistic play sessions between parents and deaf children ( = 24 dyads) aged 9-60 months. To determine whether iconic signs are overrepresented during child-directed signing, we compared the iconicity of actual parent productions to the iconicity of simulated vocabularies designed to estimate chance levels of iconicity. For almost all dyads, parent sign types and tokens were not more iconic than the simulated vocabularies, suggesting that parents do not select more iconic signs during child-directed signing. To determine whether iconic signs are more likely to be lengthened, we ran a linear regression predicting sign duration, and found an interaction between age and iconicity: while parents of younger children produced non-iconic and iconic signs with similar durations, parents of older children produced non-iconic signs with shorter durations than iconic signs. Thus, parents sign more quickly with older children than younger children, and iconic signs appear to resist that reduction in sign length. It is possible that iconic signs are perceptually available longer, and their availability is a candidate hypothesis as to why iconic signs are overrepresented in children's vocabularies.
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http://dx.doi.org/10.3389/fpsyg.2022.920729 | DOI Listing |
JMIR Form Res
December 2024
Department of Information Science, Cornell University, New York, NY, United States.
Background: Digital and wearable intervention systems promise to improve how people manage their behavioral health conditions by making interventions available when the user can best benefit from them. However, existing interventions are obtrusive because they require attention and motivation to engage in, limiting the effectiveness of such systems in demanding contexts, such as when the user experiences alcohol craving. Mindless interventions, developed by the human-computer interaction community, offer an opportunity to intervene unobtrusively.
View Article and Find Full Text PDFEndeavour
December 2024
Department of Computer Science, VU Amsterdam, the Netherlands. Electronic address:
Behav Res Methods
December 2024
Modyco, UMR 7114, CNRS, Université Paris Nanterre, Nanterre, France.
In psycholinguistics, studies are conducted to understand language processing mechanisms, whether in comprehension or in production, and independently of the language modality. To do so, researchers need accurate psycholinguistic information about the linguistic material they use. One main obstacle to this process is the lack of information available in sign language.
View Article and Find Full Text PDFEvol Dev
March 2025
College of Science and Engineering, James Cook University, Townsville, Queensland, Australia.
Comput Biol Med
January 2025
Medical Sciences School, Universidade Estadual de Campinas, R. Tessália Vieira de Camargo, 126, Campinas, 13083-887, São Paulo, Brazil; BRAINN Research, Innovation, and Dissemination Center, R. Vital Brasil, 251, Campinas, 13083-888, São Paulo, Brazil.
Background And Objective: Preoperative understanding of white matter anatomy, including its spatial relationship with pathology and superficial landmarks, is vital for effective surgical planning. The ability to interactively synthesize neural pathways from diffusion data and dynamically discern neuroanatomy-referenced fiber patterns enables neurosurgeons to construct detailed mental models of the patient's brain and assess surgical risks. We present a novel interactive software designed for real-time mining of neural pathways from diffusion-weighted magnetic resonance imaging (DW-MRI) data.
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