Understanding the Keystroke Log: The Effect of Writing Task on Keystroke Features

Autor/inn/en	Conijn, Rianne; Roeser, Jens; van Zaanen, Menno
Titel	Understanding the Keystroke Log: The Effect of Writing Task on Keystroke Features
Quelle	In: Reading and Writing: An Interdisciplinary Journal, 32 (2019) 9, S.2353-2374 (22 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Conijn, Rianne)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0922-4777
DOI	10.1007/s11145-019-09953-8
Schlagwörter	Keyboarding (Data Entry); Data Collection; Cognitive Processes; Writing Processes; Difficulty Level; Time on Task; Intervals + Suchen Sie Ihr Suchwort? Texterfassung; Data capture; Datensammlung; Cognitive process; Kognitiver Prozess; Schwierigkeitsgrad; Zeitaufwand
Abstract	Keystroke logging is used to automatically record writers' unfolding typing process and to get insight into moments when they struggle composing text. However, it is not clear which and how features from the keystroke log map to higher-level cognitive processes, such as planning and revision. This study aims to investigate the sensitivity of frequently used keystroke features across tasks with different cognitive demands. Two keystroke datasets were analyzed: one consisting of a copy task and an email writing task, and one with a larger difference in cognitive demand: a copy task and an academic summary task. The differences across tasks were modeled using Bayesian linear mixed effects models. Posterior distributions were used to compare the strength and direction of the task effects across features and datasets. The results showed that the average of all interkeystroke intervals were found to be stable across tasks. Features related to the time between words and (sub)sentences only differed between the copy and the academic task. Lastly, keystroke features related to the number of words, revisions, and total time, differed across tasks in both datasets. To conclude, our results indicate that the latter features are related to cognitive load or task complexity. In addition, our research shows that keystroke features are sensitive to small differences in the writing tasks at hand. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01