TY - GEN
T1 - Can human decisions be predicted through heart rate changes?
AU - Lee, Po Ming
AU - Chang, Chia Wei
AU - Hsiao, Tzu-Chien
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Decision making
KW - Emotion
KW - Heart rate variability
KW - Iowa gambling task
KW - Partial regularized least squares
UR - http://www.scopus.com/inward/record.url?scp=79952775384&partnerID=8YFLogxK
U2 - 10.1109/NABIC.2010.5716336
DO - 10.1109/NABIC.2010.5716336
M3 - Conference contribution
AN - SCOPUS:79952775384
SN - 9781424473762
T3 - Proceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010
SP - 189
EP - 193
BT - Proceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010
T2 - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010
Y2 - 15 December 2010 through 17 December 2010
ER -