@inproceedings{52fc720e2cc849cca3d48077c8e77629,
title = "Detecting cognitive stress from keyboard and mouse dynamics during mental arithmetic",
abstract = "Much research has been done to detect human emotion using various computational methods, such as physiological measures and facial expression recognition. These methods are effective but they could be expensive or intrusive as special setups of equipments are needed. Some researchers have utilized non-intrusive methods by using mouse or keyboard analyses and presented comparable effectiveness in detecting human emotion. This paper investigates how both keyboard and mouse features can be combined to detect human stress, particularly cognitive stress induced by time pressure and mental arithmetic problems. The results show that the complexity of the mental arithmetic problem and time pressure affect user behaviour, mouse behaviour and keyboard behaviour significantly. This indicates that automatic analysis of human stress from keyboard and mouse input is potentially useful for providing adaptation in interactive system such as an e-learning system.",
keywords = "cognitive stress, keyboard dynamics, mental arithmetic, mouse dynamics, stress detection",
author = "Lim, {Yee Mei} and Aladdin Ayesh and Martin Stacey",
note = "Publisher Copyright: {\textcopyright} 2014 The Science and Information (SAI) Organization. Acknowledgements: The authors would like to thanks Tunku Abdul Rahman Universit College for allowing the experiments to be setup and conducted in one of its computer laboratories.; 2014 Science and Information Conference, SAI 2014 ; Conference date: 27-08-2014 Through 29-08-2014",
year = "2014",
month = oct,
day = "9",
doi = "10.1109/SAI.2014.6918183",
language = "English",
series = "Proceedings of 2014 Science and Information Conference, SAI 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "146--152",
booktitle = "Proceedings of 2014 Science and Information Conference, SAI 2014",
}