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Araujo, S., Narang, V., Misra, D., Lohagun, N., Khan, O., Singh, A., Mishra, R. K., Hervais-Adelman, A., & Huettig, F. (2023). A literacy-related color-specific deficit in rapid automatized naming: Evidence from neurotypical completely illiterate and literate adults. Journal of Experimental Psychology: General, 152(8), 2403-2409. doi:10.1037/xge0001376.
Abstract
There is a robust positive relationship between reading skills and the time to name aloud an array of letters, digits, objects, or colors as quickly as possible. A convincing and complete explanation for the direction and locus of this association remains, however, elusive. In this study we investigated rapid automatized naming (RAN) of every-day objects and basic color patches in neurotypical illiterate and literate adults. Literacy acquisition and education enhanced RAN performance for both conceptual categories but this advantage was much larger for (abstract) colors than every-day objects. This result suggests that (i) literacy/education may be causal for serial rapid naming ability of non-alphanumeric items, (ii) differences in the lexical quality of conceptual representations can underlie the reading-related differential RAN performance.Additional information
supplementary text -
Ferreira, F., & Huettig, F. (2023). Fast and slow language processing: A window into dual-process models of cognition. [Open Peer commentary on De Neys]. Behavioral and Brain Sciences, 46: e121. doi:10.1017/S0140525X22003041.
Abstract
Our understanding of dual-process models of cognition may benefit from a consideration of language processing, as language comprehension involves fast and slow processes analogous to those used for reasoning. More specifically, De Neys's criticisms of the exclusivity assumption and the fast-to-slow switch mechanism are consistent with findings from the literature on the construction and revision of linguistic interpretations.
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Huettig, F., Voeten, C. C., Pascual, E., Liang, J., & Hintz, F. (2023). Do autistic children differ in language-mediated prediction? Cognition, 239: 105571. doi:10.1016/j.cognition.2023.105571.
Abstract
Prediction appears to be an important characteristic of the human mind. It has also been suggested that prediction is a core difference of autistic children. Past research exploring language-mediated anticipatory eye movements in autistic children, however, has been somewhat contradictory, with some studies finding normal anticipatory processing in autistic children with low levels of autistic traits but others observing weaker prediction effects in autistic children with less receptive language skills. Here we investigated language-mediated anticipatory eye movements in young children who differed in the severity of their level of autistic traits and were in professional institutional care in Hangzhou, China. We chose the same spoken sentences (translated into Mandarin Chinese) and visual stimuli as a previous study which observed robust prediction effects in young children (Mani & Huettig, 2012) and included a control group of typically-developing children. Typically developing but not autistic children showed robust prediction effects. Most interestingly, autistic children with lower communication, motor, and (adaptive) behavior scores exhibited both less predictive and non-predictive visual attention behavior. Our results raise the possibility that differences in language-mediated anticipatory eye movements in autistic children with higher levels of autistic traits may be differences in visual attention in disguise, a hypothesis that needs further investigation.Additional information
Raw data and analysis code can be found here on OSF -
Huettig, F., & Ferreira, F. (2023). The myth of normal reading. Perspectives on Psychological Science, 18(4), 863-870. doi:10.1177/17456916221127226.
Abstract
We argue that the educational and psychological sciences must embrace the diversity of reading rather than chase the phantom of normal reading behavior. We critically discuss the research practice of asking participants in experiments to read “normally”. We then draw attention to the large cross-cultural and linguistic diversity around the world and consider the enormous diversity of reading situations and goals. Finally, we observe that people bring a huge diversity of brains and experiences to the reading task. This leads to certain implications. First, there are important lessons for how to conduct psycholinguistic experiments. Second, we need to move beyond Anglo-centric reading research and produce models of reading that reflect the large cross-cultural diversity of languages and types of writing systems. Third, we must acknowledge that there are multiple ways of reading and reasons for reading, and none of them is normal or better or a “gold standard”. Finally, we must stop stigmatizing individuals who read differently and for different reasons, and there should be increased focus on teaching the ability to extract information relevant to the person’s goals. What is important is not how well people decode written language and how fast people read but what people comprehend given their own stated goals.
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