arrow
Return

Covert lie detection using keyboard dynamics

delete2018-01-31
delete30
delete
OA
AI
M
Monaro, Merylin
C
Chiara Galante
R
Riccardo Spolaor
Q
Qian Qian Li
L
Luciano Gamberini
M
Mauro Conti
G
Giuseppe Sartori *
DOI:10.1038/s41598-018-20462-6delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Identifying the true identity of a subject in the absence of external verification criteria (documents, DNA, fingerprints, etc.) is an unresolved issue. Here, we report an experiment on the verification of fake identities, identified by means of their specific keystroke dynamics as analysed in their written response using a computer keyboard. Results indicate that keystroke analysis can distinguish liars from truth tellers with a high degree of accuracy - around 95% - thanks to the use of unexpected questions that efficiently facilitate the emergence of deception clues.
Keywords:
KEYSTROKE DYNAMICS
LIARS
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Scientific Reports cover
Scientific Reports
IF:
3.9
Papers:
27.1W
Citations:
83.5W

Organization

U
University of Padua
Scholars:
5.1W
Papers: 4.3W
Citations: 57