publication . Conference object . 2019

How you type is what you type: Keystroke dynamics correlate with affective content

Paul F. M. J. Verschure; Riccardo Zucca; Diogo Santos-Pata; Héctor López-Carral;
Open Access
  • Published: 09 Dec 2019
  • Publisher: IEEE
Estimating the affective state of a user during a computer task traditionally relies on either subjective reports or analysis of physiological signals, facial expressions, and other measures. These methods have known limitations, can be intrusive and may require specialized equipment. An alternative would be employing a ubiquitous device of everyday use such as a standard keyboard. Here we investigate if we can infer the emotional state of a user by analyzing their typing patterns. To test this hypothesis, we asked 400 participants to caption a set of emotionally charged images taken from a standard database with known ratings of arousal and valence. We computed...
Persistent Identifiers
free text keywords: keystroke, keyboard, typing, arousal, valence, affect, Correlation, Task analysis, Keystroke dynamics, Affect (psychology), Dwell time, Affective computing, Speech recognition, Facial expression, Keystroke logging, Computer science
Funded by
Advanced tools for fighting oNline Illegal TrAfficking
  • Funder: European Commission (EC)
  • Project Code: 787061
  • Funding stream: H2020 | RIA
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Conference object . 2019
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Conference object . 2019
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