scholarly journals Is RoAsT tougher than StEAk?: The effect of case mixing on perception of multi-letter graphemes

Psihologija ◽  
2010 ◽  
Vol 43 (1) ◽  
pp. 103-116 ◽  
Author(s):  
Jelena Havelka ◽  
Clive Frankish

Case mixing is a technique that is used to investigate the perceptual processes involved in visual word recognition. Two experiments examined the effect of case mixing on lexical decision latencies. The aim of these experiments was to establish whether different case mixing patterns would interact with the process of appropriate visual segmentation and phonological assembly in word reading. In the first experiment, case mixing had a greater effect on response times to words when it led to visual disruption of the multi-letter graphemes (MLGs) as well as the overall word shape (e.g. pLeAd), compared to when it disrupted overall word shape only (e.g. plEAd). A second experiment replicated this finding with words in which MLGs represent either the vowel (e.g. bOaST vs. bOAst) or the consonant sound (e.g. sNaCK vs. sNAcK). These results confirm that case mixing can have different effect depending on the type of orthographic unit that is broken up by the manipulation. They demonstrate that graphemes are units that play an important role in visual word recognition, and that manipulation of their presentation by case mixing will have a significant effect on response latencies to words in a lexical decision task. As such these findings need to be taken into account by the models of visual word recognition.

Entropy ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. 304
Author(s):  
Kelsey Cnudde ◽  
Sophia van Hees ◽  
Sage Brown ◽  
Gwen van der Wijk ◽  
Penny M. Pexman ◽  
...  

Visual word recognition is a relatively effortless process, but recent research suggests the system involved is malleable, with evidence of increases in behavioural efficiency after prolonged lexical decision task (LDT) performance. However, the extent of neural changes has yet to be characterized in this context. The neural changes that occur could be related to a shift from initially effortful performance that is supported by control-related processing, to efficient task performance that is supported by domain-specific processing. To investigate this, we replicated the British Lexicon Project, and had participants complete 16 h of LDT over several days. We recorded electroencephalography (EEG) at three intervals to track neural change during LDT performance and assessed event-related potentials and brain signal complexity. We found that response times decreased during LDT performance, and there was evidence of neural change through N170, P200, N400, and late positive component (LPC) amplitudes across the EEG sessions, which suggested a shift from control-related to domain-specific processing. We also found widespread complexity decreases alongside localized increases, suggesting that processing became more efficient with specific increases in processing flexibility. Together, these findings suggest that neural processing becomes more efficient and optimized to support prolonged LDT performance.


2019 ◽  
Vol 25 (2) ◽  
pp. 214-233
Author(s):  
Filiz Mergen ◽  
Gulmira Kuruoglu

Recently obtained data from interdisciplinary research has expanded our knowledge on the relationship between language and the brain considerably. Numerous aspects of language have been the subject of research. Visual word recognition is a temporal process which starts with recognizing the physical features of words and matching them with potential candidates in the mental lexicon. Word frequency plays a significant role in this process. Other factors are the similarities in spelling and pronunciation, and whether words have meanings or are simply letter strings. The emotional load of the words is another factor that deserves a closer inspection as an overwhelming amount of evidence supports the privileged status of emotions both in verbal and nonverbal tasks. It is well-established that lexical processing is handled by the involvement of the brain hemispheres to varying degrees, and that the left hemisphere has greater involvement in verbal tasks as compared to the right hemisphere. Also, the emotional load of the verbal stimuli affects the specialized roles of the brain hemispheres in lexical processing. Despite the abundance of research on processing of words that belong to languages from a variety of language families, the number of studies that investigated Turkish, a language of Uralic-Altaic origin, is scarce. This study aims to fill the gap in the literature by reporting evidence on how Turkish words with and without emotional load are processed and represented in the brain. We employed a visual hemifield paradigm and a lexical decision task. The participants were instructed to decide if the letter strings presented either from the right or the left of the computer screen were real words or non-words. Their response times and accuracy of their answers were recorded. We obtained shorter response times and higher accuracy rates for real words than non-words as reported in the majority of studies in the literature. We also found that the emotional load modulated the recognition of words, supporting the results in the literature. Finally, our results are in line with the view of left hemispheric superiority in lexical processing in monolingual speakers.


2020 ◽  
Author(s):  
Kelsey Cnudde ◽  
Sophia van Hees ◽  
Sage Brown ◽  
Gwen van der Wijk ◽  
Penny M. Pexman ◽  
...  

Visual word recognition is perceived to remain relatively stable throughout adulthood, but recent research suggests the system involved is malleable, with evidence of behavioural changes after lexical decision task (LDT) practice. The potential for, and extent of, neural changes have yet to be elucidated in this context. If identified, these neural changes could be due to processes associated with learning, where performance that is initially effortful becomes efficient and supported by an optimized task network. Replicating the British Lexicon Project, participants completed 16 hours of LDT learning over several days. We recorded EEG at three intervals to track neural change during LDT learning and assessed event-related potentials and brain signal complexity. We found that response times decreased during LDT learning, and there was evidence of neural change through N170, P200, N400, and LPC amplitudes across the EEG sessions, suggesting alterations to both the general cognitive and specific lexical processes involved in LDT performance. We also found widespread complexity decreases alongside localized increases, suggesting that processing became more automatic with specific increases in processing flexibility. These findings suggest that the visual word recognition system is dynamic, and has the potential for plastic changes to support more efficient and automatic task performance.


2020 ◽  
pp. 1-18
Author(s):  
Ana Duarte CAMPOS ◽  
Helena Mendes OLIVEIRA ◽  
Ana Paula SOARES

Abstract Reading is one of the most important milestones a child achieves throughout development. Above the letter level, the syllable has been shown to play a relevant role at early stages of visual word recognition in adult skilled readers. However, studies aiming to examine when, during reading acquisition, the syllable emerges as a functional sublexical unit are scarce, and the studies conducted so far have led to inconsistent results. In this work, beginning and intermediate European-Portuguese (EP) developing readers performed a sandwich masked lexical decision task in which CV (e.g., RU.MOR[rumour]) and CVC (e.g., CIS.NE[swan]) first-syllable EP words were preceded either by syllable congruent (e.g., rum.ba-RU.MOR, cis.ra-CIS.NE), syllable incongruent (e.g., rum.ba-RU.MOR, ci.ser-CIS.NE), unrelated (e.g., va.cra-RU.MOR, zar.vo-CIS.NE) pseudowords primes, or identity (e.g., ru.mour-RU.MOUR, cis.ne-CIS.NE) primes. Results showed reliable syllable effects only for intermediate readers and for CV and CVC words alike. Findings are discussed attending to current models of visual word recognition.


2020 ◽  
Vol 12 (3) ◽  
pp. 1
Author(s):  
Masaya Mochizuki ◽  
Naoto Ota

Studies examining visual word recognition have revealed that sensorimotor information is associated with the meaning of and influences the processing of words. In this study, we collected ratings of relative embodiment, which reflects how much physical movement is involved in a word meaning, for 219 Japanese transitive verbs. We then investigated how the ratings affect visual word recognition, using three different tasks: a word-naming task, a lexical decision task, and a syntactic classification task. We found that reaction times were faster and correct rates were higher (in the lexical decision task) for words with higher relative embodiment ratings than for those with lower ratings. These findings indicate that relative embodiment affects processing of Japanese verbs as well as of English verbs.


2003 ◽  
Vol 15 (3) ◽  
pp. 354-363 ◽  
Author(s):  
Michal Lavidor ◽  
Vincent Walsh

The split-fovea theory proposes that visual word recognition is mediated by the splitting of the foveal image, with letters to the left of fixation projected to the right hemisphere (RH) and letters to the right of fixation projected to the left hemisphere (LH). We applied repetitive transcranial magnetic stimulation (rTMS) over the left and right occipital cortex during a lexical decision task to investigate the extent to which word recognition processes could be accounted for according to the split-fovea theory. Unilateral rTMS significantly impaired lexical decision latencies to centrally presented words, supporting the suggestion that foveal representation of words is split between the cerebral hemispheres rather than bilateral. Behaviorally, we showed that words that have many orthographic neighbors sharing the same initial letters (“lead neighbors”) facilitated lexical decision more than words with few lead neighbors. This effect did not apply to end neighbors (orthographic neighbors sharing the same final letters). Crucially, rTMS over the RH impaired lead-, but not end-neighborhood facilitation. The results support the split-fovea theory, where the RH has primacy in representing lead neighbors of a written word.


2021 ◽  
pp. 174702182110308
Author(s):  
Simone Sulpizio ◽  
Remo Job ◽  
Paolo Leoni ◽  
Michele Scaltritti

We investigated whether semantic interference occurring during visual word recognition is resolved using domain-general control mechanism or using more specific mechanisms related to semantic processing. We asked participants to perform a lexical decision task with taboo stimuli, which induce semantic interference, as well as well as a semantic Stroop task and a Simon task, intended as benchmarks of linguistic-semantic and non-linguistic interference, respectively. Using a correlational approach, we investigated potential similarities between effects produced in the three tasks, both at the level of overall means and as a function of response speed (delta-plot analysis). Correlations selectively surfaced between the lexical decision and the semantic Stroop task. These findings suggest that, during visual word recognition, semantic interference is controlled by semantic-specific mechanisms, which intervene to face prepotent but task-irrelevant semantic information interfering with the accomplishment of the task's goal.


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