A sensor technology survey for a stress aware trading process
Fernandez, Javier Martinez, Augusto, Juan Carlos ORCID: https://orcid.org/0000-0002-0321-9150, Seepold, Ralf and Madrid, Natividad Martinez
(2012)
A sensor technology survey for a stress aware trading process.
Transactions on Systems, Man and Cybernetics - Part C, 42
(6)
.
pp. 809-824.
ISSN 1094-6977
[Article]
(doi:10.1109/TSMCC.2011.2179028)
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Abstract
The role of the global economy is fundamentally important to our daily lives. The stock markets reflect the state of
the economy on a daily basis. Traders are the workers within the stock markets who deal with numbers, statistics, company analysis, news and many other factors which influence the economy in real time. However, whilst making significant decisions within their workplace, traders must also deal with their own emotions. In fact, traders have one of the most stressful professional occupations. This survey merges current knowledge about stress effects and sensor technology by reviewing, comparing, and highlighting relevant existing research and commercial products that are available on the market. This assessment is made in order to establish how sensor technology can support traders to avoid poor decision making during the trading process. The purpose of this article is: 1) to review the studies about the impact of stress on the decision making process
and on biological stress parameters that are applied in sensor design; 2) to compare different ways to measure stress by using sensors currently available in the market according to basic biometric principles under trading context; and 3) to suggest new directions in the use of sensor technology in stock markets.
Item Type: | Article |
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Research Areas: | A. > School of Science and Technology > Computer Science A. > School of Science and Technology > Computer Science > Intelligent Environments group |
Item ID: | 9976 |
Useful Links: | |
Depositing User: | Dr. Juan C. Augusto |
Date Deposited: | 03 Apr 2013 11:46 |
Last Modified: | 30 Nov 2022 00:33 |
URI: | https://eprints.mdx.ac.uk/id/eprint/9976 |
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