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 :
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