Cargando…
Identifying Mixture Components From Large-Scale Keystroke Log Data
In a computer-based writing assessment, massive keystroke log data can provide real-time information on students’ writing behaviors during text production. This research aims to quantify the writing process from a cognitive standpoint. The hope is that the quantification may contribute to establish...
Autor principal: | Li, Tingxuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358684/ https://www.ncbi.nlm.nih.gov/pubmed/34393876 http://dx.doi.org/10.3389/fpsyg.2021.628660 |
Ejemplares similares
-
Prosodic Boundaries in Writing: Evidence from a Keystroke Analysis
por: Fuchs, Susanne, et al.
Publicado: (2016) -
Sense of Resistance for a Cursor Moved by User’s Keystrokes
por: Kawabe, Takahiro, et al.
Publicado: (2021) -
Digital Articulation: Examining Text-Based Linguistic Performances in Mobile Communication Through Keystroke-Logging Analysis
por: Schneier, Joel
Publicado: (2021) -
Distinguishability of keystroke dynamic template
por: Sae-Bae, Napa, et al.
Publicado: (2022) -
A Survey of Keystroke Dynamics Biometrics
por: Teh, Pin Shen, et al.
Publicado: (2013)