Modelling typing disfluencies as finite mixture process

Roeser, J ORCID: https://orcid.org/0000-0002-4463-0923, De Maeyer, S, Leijten, M and Van Waes, L, 2021. Modelling typing disfluencies as finite mixture process. Reading and Writing. ISSN 2079-8245

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Abstract

To writing anything on a keyboard at all requires us to know first what to type, then to activate motor programmes for finger movements, and execute these. An interruption in the information flow at any of these stages leads to disfluencies. To capture this combination of fluent typing and typing hesitations, researchers calculate different measures from keystroke-latency data – such as mean inter-keystroke interval and pause frequencies. There are two fundamental problems with this: first, summary statistics ignore important information in the data and frequently result in biased estimates; second, pauses and pause-related measures are defined using threshold values which are, in principle, arbitrary. We implemented a series of Bayesian models that aimed to address both issues while providing reliable estimates for individual typing speed and statistically inferred process disfluencies. We tested these models on a random sample of 250 copy-task recordings. Our results illustrate that we can model copy typing as a mixture process of fluent and disfluent key transitions. We conclude that mixture models (1) map onto the information cascade that generate keystrokes, and (2) provide a principled approach to detect disfluencies in keyboard typing.

Item Type:	Journal article
Publication Title:	Reading and Writing
Creators:	Roeser, J., De Maeyer, S., Leijten, M. and Van Waes, L.
Publisher:	AOSIS
Date:	24 August 2021
ISSN:	2079-8245
Identifiers:	Number Type 10.1007/s11145-021-10203-z DOI 1456856 Other
Divisions:	Schools > School of Social Sciences
Record created by:	Laura Ward
Date Added:	13 Aug 2021 08:36
Last Modified:	03 Sep 2021 10:00
URI:	https://irep.ntu.ac.uk/id/eprint/43931

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