Visual-verbal serial recall is disrupted when task-irrelevant background speech has to be ignored. Contrary to previous suggestion, it has recently been shown that the magnitude of disruption may be accentuated by the semantic properties of the irrelevant speech. Sentences ending with unexpected words that did not match the preceding semantic context were more disruptive than sentences ending with expected words. This particular instantiation of a deviation effect has been termed the semantic mismatch effect. To establish a new phenomenon, it is necessary to show that the effect can be independently replicated and does not depend on specific boundary conditions such as the language of the stimulus material. Here we report a preregistered replication of the semantic mismatch effect in which we examined the effect of unexpected words in 4 different languages (English, French, German, and Swedish) across 4 different laboratories. Participants performed a serial recall task while ignoring sentences with expected or unexpected words that were recorded using text-to-speech software. Independent of language, sentences ending with unexpected words were more disruptive than sentences ending with expected words. In line with previous results, there was no evidence of habituation of the semantic mismatch effect in the form of a decrease in disruption with repeated exposure to the occurrence of unexpected words. The successful replication and extension of the effect to different languages indicates the expression of a general and robust mechanism that reacts to violations of expectancies based on the semantic content of the irrelevant speech. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1037/xlm0001066 | DOI Listing |
J Psychiatr Res
December 2024
School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China. Electronic address:
Objectives: Previous studies have reported inconsistent findings regarding event-related potentials (ERPs) abnormalities in individuals with generalized anxiety disorder (GAD). This meta-analysis aimed to systematically review and synthesize the existing evidence on ERP alterations in individuals with GAD.
Methods: A comprehensive literature search was conducted in PubMed, the Cochrane Library, Excerpta Medica Database, Web of Science, China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), Wanfang database, and China Biology Medicine (CBM) databases from inception to November 11, 2024.
Word retrieval during speech production has been found to slow down with ageing. Usually, words are produced in sentence contexts. The current studies examined how different sentence contexts influence lexical retrieval in younger and older adults.
View Article and Find Full Text PDFActa Psychol (Amst)
November 2024
Department of German Studies and Linguistics, Humboldt-Universität zu Berlin, Berlin, Germany; Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany; Einstein Center for Neurosciences Berlin, Charité, Berlin, Germany.
In the present study, we used eye-tracking to investigate formality-register and morphosyntactic congruence during sentence reading. While research frequently covers participants' processing of lexical, (morpho-)syntactic, or semantic knowledge (e.g.
View Article and Find Full Text PDFFront Neurosci
November 2024
Ningbo Vichnet Technology Co., Ltd., Zhejiang, China.
The affective Brain-Computer Interface (aBCI) systems strive to enhance prediction accuracy for individual subjects by leveraging data from multiple subjects. However, significant differences in EEG (Electroencephalogram) feature patterns among subjects often hinder these systems from achieving the desired outcomes. Although studies have attempted to address this challenge using subject-specific classifier strategies, the scarcity of labeled data remains a major hurdle.
View Article and Find Full Text PDFIEEE Trans Pattern Anal Mach Intell
November 2024
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!