The week's pick
Random Articles
Reseach Article
The Influence of Emotions on Keystroke Patterns in Android Platform using Auditory Stimuli - An Experimental Study
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 170 - Number 7 |
| Year of Publication: 2017 |
| Authors: Prajakta M. Dhamanskar, Lillita Rhea D'souza, Chaitrali Gandhi, Naman Malik |
10.5120/ijca2017914916
|
Prajakta M. Dhamanskar, Lillita Rhea D'souza, Chaitrali Gandhi, Naman Malik . The Influence of Emotions on Keystroke Patterns in Android Platform using Auditory Stimuli - An Experimental Study. International Journal of Computer Applications. 170, 7 ( Jul 2017), 16-19. DOI=10.5120/ijca2017914916
Abstract
Keystroke Dynamics or typing dynamics refers to the method of identifying or confirming the identity of a person based on the typing pattern by checking the various timing information obtained when a key is pressed and released. It has been hypothesized that a user’s keystroke patterns change according to his/her emotions. However, there were only limited investigations about the phenomenon itself in previous studies. The work in this paper is based on the use of auditory stimuli to check the influence of keystroke patterns and its variations according to the emotions of an individual. The advantages of using this method are that the data collected through this approach is non-intrusive and easy to obtain. The proposed system is of a controlled experiment to collect keystroke data from multiple subjects in a variety of emotional states induced by International Affective Digitized Sounds (IADS) using an Android Application. To examine the data collected, Two-way Valence (3) x Arousal (3) ANOVAs is applied. The work in this paper aims to prove that keystroke duration and latency are influenced by valence and arousal.
References
- P. V. Shivshankar Rajput, “Implementation of keystroke dynamics application for identifying emotional state,” May 2015.
- Pranit Shinde, Saideep Shetty, Mahendra Mehra, “Survey of Keystroke Dynamics as a Biometric for Static Authentication,” April 2016.
- I. L. Margit ANTAL, LászlóZsolt SZABÓ, “Keystroke dynamics on android platform,” October 2014.
- L. A. E. Shatha J. Alghamdi, “Dynamic user verification using touch keystroke based on medians vector proximity,” Computational Intelligence, Communication Systems and Networks (CICSyN), June 2015.
- T.-C. H. Po-Ming Lee, “The effect of emotion on keystroke: An experimental study using facial feedback hypothesis,” Plos One, June 2015.
- T.-C. H. Po-Ming Lee, Wei-HsuanTsui, “The influence of emotion on keyboard typing:An experimental study using auditory stimuli,” Plos One, June 2015.
- Clayton Epp, Michael Lippold, Regan L. Mandryk, “Identifying emotional states using keystroke dynamics”
- P. J. Lang, “Behavioral treatment and bio-behavioral assessment: Computer applications,” J. B. Sidowski, J. H. Johnson, T A. Williams (Eds.), Technology in mental health care delivery systems (pp. 119-137), 1980.
- L. P. J. Bradley, M. M., “Measuring emotion: The self-assessment manikin and the semantic differential,” Journal of Behavioral Therapy and Experimental Psychiatry, 25(1), 49-59., 1994.
Index Terms
Keywords