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Martínez Fernández, Javier; Augusto, Juan Carlos; Trombino, Giuseppe; Seepold, Ralf; Martinez Madrid, Natividad (2013)
Publisher: Graz University of Technology, Institut für Informationssysteme und Computer Medien (IICM)
Languages: English
Types: Article
Subjects:

Classified by OpenAIRE into

ACM Ref: ComputingMilieux_COMPUTERSANDSOCIETY
Traders are required to work in the financial market with highly complex information and to perform efficiently under high levels of psychological pressure. Multiple disciplines, from programs with artificial intelligence to complex mathematical functions, are used to help traders in their effort to maximize profits. However, an essential problem not yet considered in this rapidly evolving environment is that traders are not supported to adequately manage how stress influences their decisions. This paper takes into consideration the negative influences of stress on individuals and proposes a system designed to support traders by providing them with information that can reduce the likelihood of poor decision-making. The system has been designed considering both technical and physiological aspects to make information available in a suitable way. Biometric sensors are used to collect data associated with stress, a software platform then analyses this information and displays it to the trader. The resulting system is capable of making individual traders, as well as teams of traders, self-aware of their levels of stress. The system has been tested in real environments and the results provide evidence that self-aware traders benefit from the system by reducing risky decision-making.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [Adams, 95] Adams, S., Alkon, A., Boyce, W.T., Chesney, M., Chesterman, B., Cohen, F., Folkman, S., Kaiser, P., Tschann, J.M. and Wara, D., 1995, “Psychobiologic reactivity to stress and childhood respiratory illnesses: results of two prospective studies,” in Psychosom Med, vol.
    • 57, pp. 411-422.
    • [Ang, 06] Ang, K.K and Quek, C., 2006, “Stock Trading Using RSPOP: A Novel Rough SetBased Neuro-Fuzzy Approach,” in IEEE Trans. on Neural Networks, vol. 17, no. 5, pp. 1301- 1315.
    • [Barnea, 95] Barnea,O. and Shusterman,V., 1995, “Analysis of Skin-Temperature Variability compared to Variability of Blood Pressure and Heart Rate,” in IEEE Engineering in Medicine and Biology Society, vol. 2, pp. 766-771.
    • [Bevan. 01] Bevan, N., 2001, “International Standards for HCI and Usability ,” in International Journal of Human-Computer Studies, Vol. 55(4).
    • [Bollen, 10] Bollen, J., Mao, H. and Zeng, X.J, 2010. Twitter mood predicts the stock market.
    • http://arxiv.org/abs/1010.3003. (2013, Mar. 21) [Braceland, 53] Braceland, F.J., 1953, “Hormones and Their Influence on the Emotions,” in Bull N Y Acad Med, vol. 29(10), pp. 765-777.
    • [Broder, 00] Broder, A., 2000, “Assessing the empirical validity of the Take-the-Best heuristic as a model of human probabilistic inference,” in J. Experimental Psychology: Learning, Memory, and Cognition, vol. 26, pp. 1332-1346.
    • [Broder, 03] Broder, A., 2003, “Decision making with the adaptive toolbox: Influence of environmental structure, intelligence, and working memory load,” in J. Experimental Psychology: Learning, Memory, and Cognition, vol. 29(4), pp. 611-625.
    • [Coates, 08] Coates, J. M. and Herbert. J., 2008, “Endogenous steroids and financial risk taking on a London trading floor,” in Proc.National Academy of Sciences, Vol. 105, No.16, pp.
    • [Cryer, 03] Cryer,B., McCraty, R. and Childre, D., 2003, “Pull the plug on stress” in Harvard Business Review, vol. 81(7), pp. 102-107.
    • [De Silva, 00] De Silva, L.C. and Ng, P.C., 2000, “Bimodal emotion recognition,” in IEEE International Conference on Automatic Face and Gesture Recognition, pp. 332-335.
    • [Delgado, 09] Delgado, M.R. and Porcelli, A.J., 2009 “Acute Stress Modulates Risk Taking in Financial Decision Making,” in Psychological Science, vol. 20, no.3, pp.278-83.
    • [Dougherty, 03] Dougherty, M.R.P. and Hunter, J., 2003, “Probability judgment and subadditivity: The role of working memory capacity and constraining retrieval,” in Memory & Cognition, vol. 31(6), pp. 968-982.
    • [Emwave, 13] Emwave desktop. (2013, Mar. 21). Available: http://www.heartmathstore.com/category/emwave-desktop/emwave-desktop-anxiety-relief [Entin, 90] Entin, E. and Serfaty, D., 1990, “Information gathering and decision making under stress,” NTIS HCA05/MF A01. Tech. Rep. TR-454 [Fanders, 10] Fanders, S. Greece: Ceding defeat, but not (yet) default, 2010, BBC news: http://www.bbc.co.uk/blogs/thereporters/stephanieflanders/2010/04/ceding_defeat_but_not_yet _defa.html (2013, Mar. 21) [Gigerenzer, 01] Gigerenzer, G. and Selten, R., 2001, Bounded rationality: The adaptive toolbox. Cambridge, MA: MIT Press, pp. 37-50.
    • [Heyn, 02] Heyn, A.I. and Martínez, J., 2002, “Expert system for the recommendation of the IBEX-35 shares on Internet”, Degree Project.
    • [Lang, 93] Lang, P., Greenwald, M., Bradley, M. and Hamm, O., 1993, ”Looking at pictures: Affective, facial, visceral, and behavioral reactions,” in Psychophysiology, vol.30, pp.261-273.
    • [Lehner, 97] Lehner, P., Seyed-Solorforough, M., O'Connor, M.F., Sak, S. and Mullin, T., 1997 “Cognitive biases and time stress in team decision making,” in IEEE Trans. on Systems, Man, & Cybernetics Part A: Systems & Humans, vol. 27, pp. 698-703.
    • [Lo, 01] Lo, A. and Repin, D.V, 2001, "The Psychophysiology of Real-Time Financial Risk Processing," in J. Cognitive Neuroscience, vol. 14(3), pp. 323-339.
    • [Lo, 05] Lo, A., Repin, D.V. and Steenbarger, B., 2005, “Fear and Greed in Financial Markets: A Clinical Study of Day-Traders,” in American Economic Review, vol. 95, pp. 352-59.
    • [Lori, 02] Lori, G., 2002, “A micro simulation of traders activities in the stock market: The role of heterogeneity, agents interaction and trade frictions,” in Journal of Economic Behaviour and Organization, vol. 49, pp. 269-285.
    • [Martínez, J.10] Martínez, J., Augusto, J.C., Seepold, R., Martínez, N., 2010, ”Sensors in Trading Process: A Stress-Aware Trader,” in 8th Proc. IEEE Workshop on Intelligent Solutions in Embedded Systems, pp. 17-21.
    • [Martínez, J. 11] Martínez, J., Augusto, J.C., Seepold, R., Martínez, N., 2011, “Why Traders Need Ambient Intelligence,” in Advances in Intelligent and Soft Computing series, SpringerVerlag Berlin Heidelberg, vol. 72, 229-236.
    • [Martínez, J., 12] Martínez, J., Augusto, J.C., Seepold, R., Martínez, N., 2012 " A Sensor Technology Survey for a Stress Aware Trading Process", IEEE Trans. On Systems, Man and Cybernetics - Part C: Applications and reviews. DOI: http://dx.doi.org/10.1109/TSMCC.2011.2179028 [Martínez, N.,12] Martínez, N., Martínez, J., Seepold, R., Augusto, J.C., 2012 "Sensors for Ambient Assisted Living and Smart Homes", Springer Series on Chemical Sensors and Biosensors, D. Filippini (Ed.), Autonomous Sensor Networks: Collective Sensing Strategies for Analytical Purposes. DOI: 10.1007/5346_2012_36, ISSN: 1612-7617, pp. 1-33.
    • [Nicholson, 00] Nicholson, J., Takahashi, K. and Nakatsu, R., 2000, “Emotion recognition in speech using neural networks,” in Neural Computing and Applications, vol. 9 (4), pp. 290-296.
    • [Oberlechner, 05] Oberlechner, T., Nimgade, A., 2005, “Work stress and performance among financial traders” in Stress and Health, vol. 21(5), pp. 285-293 [O'Creevy, 10] O'Creevy, M.F., Nicholson, N., Soane, E. and Willman, P., 2010 “Trading on illusions: Unrealistic perceptions of control and trading performance” in Journal of Occupational and Organizational Psychology, vol. 76(1), pp. 53-68.
    • [Ossebaard, 00] Ossebaard, H.C., 2000, “Stress reduction by technology? An experimental study into the effects of brainmachines on burnout and state anxiety,” in Appl Psychophysiology Biofeedback, vol.25, pp. 93-101.
    • [Park, 11] Park, A., 2011 "The Two Faces of Anxiety", inTime, vol. 178(Nov), pp.60.
    • [Picard, 01] Picard, R., Vyzaz, E. and Healey, J., 2001, “Toward machine emotional intelligence: Analysis of affective physiological state,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23 (10), pp. 1175-1191.
    • [Pixley, 02] Pixley, J., 2002 “Finance organizations, decisions and emotions,” in British J.
    • Sociology, vol. 53 (1), pp. 41-65.
    • [Rosenblum, 96] Rosenblum, M., Yacoob, Y. and Davis, L.S., 1996, “Human expression recognition from motion using radial basis function network architecture,” in IEEE Transactions on Neural Networks, vol. 7(5), pp. 1121-1138.
    • [Serfaty, 98] Serfaty, D., Entin, E., Johnston, J.H., 1998, “Team coordination training,” in Making decisions under stress, J.A. Cannon-Bowers, E. Salas, Eds., Washington: American Psychological Association, pp. 221-245.
    • [Speier, 99] Speier, C., Valacich, J.S. and Vessey, I., 1999, “The influence of task interruption on individual decision making: An information overload perspective,” in Decision Sciences, vol. 30(2), pp. 337-360.
    • [Staal, 04] Staal, MA., 2004, Stress, Cognition, and Human Performance: A Literature Review and Conceptual Framework (NASA/TM-2004-212824) (Moffett Field, CA: Ames Research Center) [Steenbarger, 03] Steenbarger, B.N., 2003, “The Psychology of Trading: Tools and Techniques for Minding the Markets”, Wiley Trading, ISBN: 978-0-471-26761-4 [Steenbarger, 06] Steenbarger, B.N., 2006, “Enhancing Trader Performance: Proven Strategies From the Cutting Edge of Trading Psychology”, Wiley Trading, ISBN: 978-0-470-03866-6 [Viqueira, 12] Viqueira Villarejo, M., García Zapirain, B. and Méndez Zorrilla, 2012, A., “A Stress Sensor Based on Galvanic Skin Response (GSR) Controlled by ZigBee”, Sensors (Basel). 2012; 12(5): 6075-6101, DOI: 10.3390/s120506075 [Wolberg, 00] Wolberg, J.R., 2000, Expert Trading Systems: Modeling Financial Markets with Kernel Regression, New York: J. Wiley and Sons, pp. 45-49.
    • [Yamanaka, 09] Yamanaka, K. and Kawakami, M., 2009, “Convenient evaluation of mental stress with pupil diameter,” in International J. occupational safety and ergonomics: JOSE, vol.
    • 15(4), pp. 447-50.
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