Design and Validation of a Mental and Social Stress Induction Protocol - Towards Load-invariant Physiology-based Stress Detection
Camille Jeunet, Fabien Lotte, Christian Mühl
2014
Abstract
Stress is a major societal issue with negative impacts on health and economy. Physiological computing offers a continuous, direct, and unobtrusive method for stress level assessment and computer-assisted stress management. However, stress is a complex construct and its physiology can vary depending on its source: cognitive workload or social evaluation. To study the feasibility of physiology-based load-invariant psychosocial stress-detection, we designed a stress-induction protocol able to independently vary the relevant types of psychophysiological activity: mental and psychosocial stress. Here, we validate the efficacy of our protocol to induce psychosocial and mental stress. Our participants (N=24) had to perform a cognitive task associated with two workload conditions (low/high mental stress), in two contexts (low/high psychosocial stress), during which we recorded subjects’ self-reports, behaviour, physiology and neurophysiology. Questionnaires showed that the subjectively perceived level of stress varied with the psychosocial stress induction, while perceived arousal and mental effort levels vary with mental stress induction. Behaviour and physiology further corroborated the validity of our protocol. Heart rate and skin conductance globally increased after psychosocial stress induction relative to the non-stressful condition. Moreover, we demonstrated that higher workload tasks (mental stress) led to decrease in performance and a marked increase of heart rate.
References
- Boucsein, W. (1992). Electrodermal Indices of Emotion and Stress. In Electrodermal Activity, chapter 3, pages 369-391. Springer New York.
- Brouwer, A. M., Hogervorst, M. A., van Erp, J. B. F., Heffelaar, T., Zimmerman, P. H., and Oostenveld, R. (2012). Estimating workload using EEG spectral power and ERPs in the n-back task. International Journal of Neural Engineering, 9.
- Buchanan, T. W., Etze, J. A., Adolphs, R., and Tranel, D. (2006). The influence of autonomic arousal and semantic relatedness on memory for emotional words. International Journal of Psychophysiology, 61:23-26.
- Crost, N. W., Pauls, C. A., and Wacker, J. (2008). Defensiveness and anxiety predict frontal EEG asymmetry only in specific situational contexts. Biological Psychology, 78:43-52.
- Dickerson, S. S. and Kemeny, M. E. (2004). Acute stressors and cortisol responses: a theoretical integration and synthesis of laboratory research. Psychological Bulletin, 130(3):355-391.
- Fairclough, S. H. (2009). Fundamentals of physiological computing. Interacting with Computers, 21:133-145.
- Healey, J. and Picard, R. (2005). Detecting Stress During Real-World Driving Tasks Using Physiological Sensors. IEEE Transactions on Intelligent Transportation Systems, 6(2):156-166.
- Hellhammer, J. and Schubert, M. (2012). The physiological response to Trier Social Stress Test relates to subjective measures of stress during but not before or after the test. Psychoneuroendocrinology, 37(1):119-24.
- Hewig, J., Schlotz, W., Gerhard, F., Breitenstein, C., Luerken, A., and Naumann, E. (2008). Associations of the cortisol awakening response (CAR) with cortical activation asymmetry during the course of an exam stress period. Psychoneuroendocrinology, 33:83-89.
- Hogervorst, M. A., Brouwer, A.-M., and Vos, W. K. (2013). Physiological Correlates of Stress in Individuals About to Undergo Eye Laser Surgery. In 5th IEEE International Conference on Affective Computing and Intelligent Interaction, Geneva, Switzerland. IEEE Computer Society Press.
- Khosrowabadi, R. and Quek, C. (2011). A Brain-Computer Interface for classifying EEG correlates of chronic mental stress. In Proceedings of International Joint Conference on Neural Networks 2011 (IJCNN), volume 138632, pages 757-762.
- Kirchner, W. K. (1958). Age differences in short-term retention of rapidly changing information. Journal of Experimental Psychology, 55(4):352-358.
- Kirschbaum, C., Pirke, K.-M., and Hellhammer, D. H. (1993). The ”Trier Social Stress Test”: a Tool for Investigating Psychobiological Stress Responses in a Laboratory Setting. Neuropsychobiology, 28:76-81.
- Krout, R. E. (2007). Music listening to facilitate relaxation and promote wellness: Integrated aspects of our neurophysiological response to music. The Arts in Psychotherapy, 34:134-141.
- Kusserow, M., Amft, O., and Troster, G. (2012). Monitoring Stress-arousal in the Wild - Measuring the Intangible. IEEE Pervasive Computing, 12(2):28 - 37.
- Lewis, R. S., Weekes, N. Y., and Wang, T. H. (2007). The effect of a naturalistic stressor on frontal EEG asymmetry, stress, and health. Biological Psychology, 75:224-239.
- Loggia, M. L., Juneau, M., and Bushnell, M. C. (2011). Autonomic responses to heat pain: Heart rate, skin conductance, and their relation to verbal ratings and stimulus intensity. Pain, 152(3):592-8.
- Regehr, C., Glandy, D., and Pitts, A. (2013). Interventions to reduce stress in university students: A review and meta-analysis. Journal of Affective Disorders, 148:1- 11.
- Reinhardt, T., Schmahl, C., Wüst, S., and Bohus, M. (2012). Salivary cortisol, heart rate, electrodermal activity and subjective stress responses to the Mannheim Multicomponent Stress Test (MMST). Psychiatry research, 198(1):106-11.
- Renard, Y., Lotte, F., Gibert, G., Congedo, M., Maby, E., Delannoy, V., Bertrand, O., and Lécuyer, A. (2010). OpenViBE: An Open-Source Software Platform to Design, Test, and Use Brain-Computer Interfaces in Real and Virtual Environments. Presence: Teleoperators and Virtual Environments, 19(1):35-53.
- Riera, A., Soria-Frisch, A., Albajes-Eizagirre, A., Cipresso, P., Grau, C., Dunne, S., and Ruffini, G. (2012). Electro-physiological data fusion for stress detection. Studies in health technology and informatics, 181:228-32.
- Selye, H. (1936). A syndrome produced by diverse nocuous agents. Nature, 138:32.
- Sinha, R., Talih, M., Malison, R., Cooney, N., Anderson, G.-M., and Kreek, M.-J. (2003). Hypothalamicpituitary-adrenal axis and sympatho-adrenomedullary responses during stress-induced and drug cue-induced cocaine craving states. Psychopharmacology, 170:62-72.
- Spielberger, C. D., Gorsuch, R. L., and Lushene, R. E. (1970). Manual for the State-Trait Anxiety Inventory. Consulting Psychologists Press, Palo Alto.
- Szalma, J. L. and Teo, G. W. L. (2012). Spatial and temporal task characteristics as stress: A test of the dynamic adaptability theory of stress, workload, and performance. Acta Psychologica, 139:448-471.
- Taniguchi, K., Nishikawa, A., Sugino, T., Aoyagi, S., Sekimoto, M., Takiguchi, S., Okada, K., Monden, M., and Miyazaki, F. (2009). Method for Objectively Evaluating Psychological Stress Resulting when Humans Interact with Robots. In Kulyukin, V. A., editor, Advances in Human-Robot Interaction. InTech China.
- Tops, M., van Peer, J. M., Wester, A. E., Wijers, A. A., and Korf, J. (2006). State-dependent regulation of cortical activity by cortisol: An EEG study. Neuroscience Letters, 404:34-39.
- van den Broek, E. L. and Westerink, J. H. D. M. (2012). Biofeedback Systems for Stress Reduction - Towards a Bright Future for a Revitalized Field. In International Conference on Health Informatics (HEALTHINF 2012), pages 499-504.
Paper Citation
in Harvard Style
Jeunet C., Lotte F. and Mühl C. (2014). Design and Validation of a Mental and Social Stress Induction Protocol - Towards Load-invariant Physiology-based Stress Detection . In Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS, ISBN 978-989-758-006-2, pages 98-106. DOI: 10.5220/0004724100980106
in Bibtex Style
@conference{phycs14,
author={Camille Jeunet and Fabien Lotte and Christian Mühl},
title={Design and Validation of a Mental and Social Stress Induction Protocol - Towards Load-invariant Physiology-based Stress Detection},
booktitle={Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS,},
year={2014},
pages={98-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004724100980106},
isbn={978-989-758-006-2},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS,
TI - Design and Validation of a Mental and Social Stress Induction Protocol - Towards Load-invariant Physiology-based Stress Detection
SN - 978-989-758-006-2
AU - Jeunet C.
AU - Lotte F.
AU - Mühl C.
PY - 2014
SP - 98
EP - 106
DO - 10.5220/0004724100980106