{"title":"ENIGMA: A Web Application for Running Online Artificial Grammar Learning Experiments","authors":"Tsung-Ying Chen","doi":"10.1007/s10936-024-10078-5","DOIUrl":null,"url":null,"abstract":"<p>Artificial grammar learning (AGL) is an experimental paradigm frequently adopted to investigate the unconscious and conscious learning and application of linguistic knowledge. This paper will introduce ENIGMA (https://enigma-lang.org) as a free, flexible, and lightweight Web-based tool for running online AGL experiments. The application is optimized for desktop and mobile devices with a user-friendly interface, which can present visual and aural stimuli and elicit judgment responses with RT measures. Without limits in time and space, ENIGMA could help collect more data from participants with diverse personal and language backgrounds and variable cognitive skills. Such data are essential to explain complex factors influencing learners’ performance in AGL experiments and answer various research questions regarding L1/L2 acquisition. The introduction of the core features in ENIGMA is followed by an example study that partially replicated Chen (Lang Acquis 27(3):331–361, 2020) to illustrate possible experimental designs and examine the quality of the collected data.</p>","PeriodicalId":47689,"journal":{"name":"Journal of Psycholinguistic Research","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Psycholinguistic Research","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1007/s10936-024-10078-5","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"LINGUISTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial grammar learning (AGL) is an experimental paradigm frequently adopted to investigate the unconscious and conscious learning and application of linguistic knowledge. This paper will introduce ENIGMA (https://enigma-lang.org) as a free, flexible, and lightweight Web-based tool for running online AGL experiments. The application is optimized for desktop and mobile devices with a user-friendly interface, which can present visual and aural stimuli and elicit judgment responses with RT measures. Without limits in time and space, ENIGMA could help collect more data from participants with diverse personal and language backgrounds and variable cognitive skills. Such data are essential to explain complex factors influencing learners’ performance in AGL experiments and answer various research questions regarding L1/L2 acquisition. The introduction of the core features in ENIGMA is followed by an example study that partially replicated Chen (Lang Acquis 27(3):331–361, 2020) to illustrate possible experimental designs and examine the quality of the collected data.
期刊介绍：
Journal of Psycholinguistic Research publishes carefully selected papers from the several disciplines engaged in psycholinguistic research, providing a single, recognized medium for communications among linguists, psychologists, biologists, sociologists, and others. The journal covers a broad range of approaches to the study of the communicative process, including: the social and anthropological bases of communication; development of speech and language; semantics (problems in linguistic meaning); and biological foundations. Papers dealing with the psychopathology of language and cognition, and the neuropsychology of language and cognition, are also included.
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