Proceedings of the Korean Society for Emotion and Sensibility Conference (한국감성과학회:학술대회논문집)
- 2000.04a
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- Pages.318-327
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- 2000
Artificial Intelligence Based Approaches to the Effect of Cognitive Style and Physiological Phenomena on Judgmental Time series forecasting: A Proposal
- Park, Hung-Kook (Division of Information and Telecommunications, Sangmyung University) ;
- Yoo, Hyeon-Joong (Division of Information and Telecommunications, Sangmyung University) ;
- Byoungho Song (Department of Software science, Sangmyung University)
- Published : 2000.04.01
Abstract
Managerial intuition is a well-recognized cognitive ability but still poorly understood for the purpose of developing effective decision support systems. this research investigates whether the differences in accuracy of "time series forecasting" are related to the differences in one's cognitive style, using statistical test The hypotheses established in the research model did not have positive correlation The lack of correlation between "cognitive style and physiological measures" and accuracy in forecasting may be caused by uncontrolled external variable. Thus, further analyses on physiological characteristics and brainwaves are needed. The approaches such as neural network and data mining are proposed.
Keywords