Using Mouse and Keyboard Dynamics to Detect Cognitive Stress During Mental Arithmetic

Date

2015

Advisors

Journal Title

Journal ISSN

ISSN

1860-949X

Volume Title

Publisher

Springer International Publishing

Type

Book chapter

Peer reviewed

Yes

Abstract

To build a personalized e-learning system that can deliver adaptive learning content based on student’s cognitive effort and efficiency, it is important to develop a construct that can help measuring perceived mental state, such as stress and cognitive load. The construct must be able to be quantified, computerized and automated. Our research investigates how mouse and keyboard dynamics analyses could be used to detect cognitive stress, which is induced by high mental arithmetic demand with time pressure, without using intrusive and expensive equipment. The research findings suggest that when task demand increased, task error, task duration, passive attempt, stress perception and mouse idle duration may increase, while mouse speed, left mouse click and keystroke speed decreased. The significant effects of task demand and time pressure on mouse and keystroke behaviours suggest that stress evaluation from these input devices is potentially useful for designing an adaptive e-learning system.

Description

Keywords

Adaptive e-learning, Stress detection, Keyboard dynamics, Mouse dynamics, Mental arithmetic

Citation

Lim, Y., Ayesh, A., and Stacey, M. (2015) Using Mouse and Keyboard Dynamics to Detect Cognitive Stress During Mental Arithmetic. In: K. Arai, S. Kapoor, and R. Bhatia (Eds.), Intelligent Systems in Science and Information 2014, vol. 591 of Studies in Computational Intelligence. Springer International Publishing, pp. 335–350

Rights

Research Institute

Cyber Technology Institute (CTI)
Institute of Artificial Intelligence (IAI)