TypeVis: Visualization of Keystrokes and Typing Patterns based on Time Series Analysis

Kinga Enyedi, Roland Kunkli

2019

Abstract

In recent decades, people spend more and more time in front of their computers; therefore, instead of writing on a paper, it is more common to type on a keyboard. In the case of handwriting, there are personal traits implicitly left with the written text since people do not write the same way. Since how one writes on a paper using a writing tool results in a different outlook of the written text for each person, one may question whether the process of typing on a keyboard involves any specific personality traits or not. It can be proven that several particular properties exist in the case of keyboard usage too. One of the most typical properties is based on differences in time with respect to pressing and releasing keys on the keyboard. In this paper, we present a visualization method for representing the typing styles of people, based on differences in when they press and release each key on the keyboard over time. Using time differences of keystrokes for visualization purposes allows to create a visible image about an individual’s personal typing habits.

Paper Citation

in Harvard Style

Enyedi K. and Kunkli R. (2019). TypeVis: Visualization of Keystrokes and Typing Patterns based on Time Series Analysis. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 3: IVAPP; ISBN 978-989-758-354-4, SciTePress, pages 346-353. DOI: 10.5220/0007584103460353

in Bibtex Style

@conference{ivapp19,
author={Kinga Enyedi and Roland Kunkli},
title={TypeVis: Visualization of Keystrokes and Typing Patterns based on Time Series Analysis},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 3: IVAPP},
year={2019},
pages={346-353},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007584103460353},
isbn={978-989-758-354-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 3: IVAPP
TI - TypeVis: Visualization of Keystrokes and Typing Patterns based on Time Series Analysis
SN - 978-989-758-354-4
AU - Enyedi K.
AU - Kunkli R.
PY - 2019
SP - 346
EP - 353
DO - 10.5220/0007584103460353
PB - SciTePress