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2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII) (2017)
San Antonio, TX, USA
Oct. 23, 2017 to Oct. 26, 2017
ISSN: 2156-8111
ISBN: 978-1-5386-0564-6
pp: 222-228
Jun Wang , Department of Computing, Hong Kong Polytechnic University, Hong Kong, China
Michael Xuelin Huang , Max Planck Institute for Informatics, Saarland Informatics Campus, Germany
Grace Ngai , Department of Computing, Hong Kong Polytechnic University, Hong Kong, China
Hong Va Leong , Department of Computing, Hong Kong Polytechnic University, Hong Kong, China
ABSTRACT
Stress is a fact of daily life. Stress can also deteriorate human's attention and memory, which, when a user is engaged in interactive applications, will negatively affect the user experience and downgrade the delivered performance. Traditional stress inference is mainly based on user physical features like Blood Volume Pulse, Galvanic Skin Response, often captured via devices that intrude on the user space. In contrast, this paper proposes a non-intrusive approach that exploits the consistency of users' behavioral patterns when interacting with a user interface, specifically, in terms of eye gaze and mouse movement. The relationship between the stress experienced by the user and his/her eye gaze and gaze-mouse coordination patterns are investigated. We show that both eye gaze and gaze-mouse coordination patterns can be exploited to distinguish whether a user is under stress. We also discover that a user's eye gaze behavior patterns are more consistent when he/she is under stress. This understanding of how a user's behavior differs under stress could be useful in the development of effective adaptive systems that can maximize user potential.
INDEX TERMS
Stress, Mice, Feature extraction, Correlation, Task analysis, Skin, Layout
CITATION

J. Wang, M. X. Huang, G. Ngai and H. V. Leong, "Are you stressed? Your eyes and the mouse can tell," 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, TX, USA, 2017, pp. 222-228.
doi:10.1109/ACII.2017.8273604
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