DocumentCode
265935
Title
Detecting cognitive stress from keyboard and mouse dynamics during mental arithmetic
Author
Yee Mei Lim ; Ayesh, Aladdin ; Stacey, Martin
Author_Institution
Fac. of Appl. Sci. & Comput., Tunku Abdul Rahman Univ. Coll., Kuala Lumpur, Malaysia
fYear
2014
fDate
27-29 Aug. 2014
Firstpage
146
Lastpage
152
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
cognition; emotion recognition; human computer interaction; human factors; keyboards; mouse controllers (computers); cognitive stress detection; e-learning system; facial expression recognition; human emotion detection; human stress detection; interactive system; keyboard behaviour; mental arithmetic problems; mouse behaviour; mouse dynamics; nonintrusive methods; physiological measures; time pressure; user behaviour; Complexity theory; Correlation; Educational institutions; Keyboards; Mice; Stress; Timing; cognitive stress; keyboard dynamics; mental arithmetic; mouse dynamics; stress detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Science and Information Conference (SAI), 2014
Conference_Location
London
Print_ISBN
978-0-9893-1933-1
Type
conf
DOI
10.1109/SAI.2014.6918183
Filename
6918183
Link To Document