Title :
Can human decisions be predicted through heart rate changes?
Author :
Lee, Po-Ming ; Chang, Chia-Wei ; Hsiao, Tzu-Chien
Author_Institution :
Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
Researchers in the area of neuroscience, psychophysiology and communication technology believe that emotion plays an important role in decision making, learning and memory. Recent years, due to the development of instrument and experimental paradigm, emotion and its´ influence on decision making has become clear. This paper utilized Iowa Gambling Task (IGT) and Heart Rate Variability (HRV) analysis, found out subjects having different types of decisions related to their heart rate changes right before they made decisions (p <; 0.001). As a pattern classification problem, promising results were obtained in this study using Partial Regularized Least Squares (PRLS) extended feature extraction techniques, showing that human decisions are predictable through their concurrent physiological state.
Keywords :
cardiology; least mean squares methods; neurophysiology; HRV analysis; IGT; Iowa gambling task; PRLS; emotion; feature extraction; heart rate variability; neuroscience; partial regularized least squares; pattern classification; psychophysiology; Humans; Neuroscience; Tracking; Decision Making; Emotion; Heart Rate Variability; Iowa Gambling Task; Partial Regularized Least Squares;
Conference_Titel :
Nature and Biologically Inspired Computing (NaBIC), 2010 Second World Congress on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4244-7377-9
DOI :
10.1109/NABIC.2010.5716336