AUTHOR=Schneier Joel 

TITLE=Digital Articulation: Examining Text-Based Linguistic Performances in Mobile Communication Through Keystroke-Logging Analysis

JOURNAL=Frontiers in Artificial Intelligence

VOLUME=Volume 3 - 2020

YEAR=2021

URL=https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2020.539920

DOI=10.3389/frai.2020.539920

ISSN=2624-8212

ABSTRACT=This study examines how text-based mobile communication practices are performatively constructed as individuals compose messages key-by-key on virtual keyboards, and how these synchronous performances (Farman, 2012) reflect the iterative process of constructing and maintaining interpersonal relationships. In doing so, this study reports on keystroke-logging analysis (see Leijten & Van Waes, 2013) in order to observe how participants (N = 10) composed text as part of everyday mobile communication for the period of one week, subsequently producing 179,996 individual keystroke log-file records. Participants used LogKey, a virtual keyboard application made exclusively for this study to run on the Android mobile operating system. Analysis of keystroke log-file data suggest that timing processes of composing text-messages may differ as participants messaged with different categories of interlocutors, composed on different communication applications, and composed paralinguistic features—such as variants of Lol and Haha (Thurlow, 2003; Tagg, 2012)—at different turn-taking positions. This evidence suggests that keystroke-logging methods may contribute to understanding of how individuals manage interpersonal relationships in real-time (Laursen, 2005; Spilioti, 2011), and suggests future direction for methodologically studying linguistic performances as part of text-based mobile communication.