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A Multilingual Copy Task: Measuring Typing and Motor Skills in Writing with Inputlog
Author(s) -
Luuk Van Waes,
Mariëlle Leijten,
Tom Pauwaert,
Eric Van Horenbeeck
Publication year - 2019
Publication title -
journal of open research software
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.385
H-Index - 6
ISSN - 2049-9647
DOI - 10.5334/jors.234
Subject(s) - fluency , computer science , keystroke logging , task (project management) , context (archaeology) , typing , writing process , natural language processing , human–computer interaction , artificial intelligence , psychology , speech recognition , mathematics education , paleontology , management , economics , biology , operating system
Keyboarding is an essential mode of text production. In the context of typing courses, instruments have been developed to gauge typing skills but to our knowledge there is no computerized typing test measuring both motor skills and the influence of different levels of lexicality on typing fluency. That is why, we developed a strictly controlled copy task guiding participants through seven modules in which different prompts are presented, each dealing with complementary levels of lexicality. Fine-grained keystroke logging allows for a range of analyses with Inputlog [16]. The copy task can be used in writing process studies: research shows that typing fluency has an impact in the quality of text production [1, 24]. In previous writing research studies copy tasks have been used to study the relation between writing fluency and text composition (Wallot and Grabowski, 2013). The Inputlog copy task allows researchers to investigate different levels of lexicality in more detail. At the moment the copy task has been developed in ten different languages. The software is open-access and allows researchers to adapt the tasks to their specific needs.

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