Can human decisions be predicted through heart rate changes?

Po Ming Lee*, Chia Wei Chang, Tzu-Chien Hsiao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010
Pages189-193
Number of pages5
DOIs
StatePublished - 1 Dec 2010
Event2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010 - Kitakyushu, Japan
Duration: 15 Dec 201017 Dec 2010

Publication series

NameProceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010

Conference

Conference2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010
CountryJapan
CityKitakyushu
Period15/12/1017/12/10

Keywords

  • Decision making
  • Emotion
  • Heart rate variability
  • Iowa gambling task
  • Partial regularized least squares

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  • Cite this

    Lee, P. M., Chang, C. W., & Hsiao, T-C. (2010). Can human decisions be predicted through heart rate changes? In Proceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010 (pp. 189-193). [5716336] (Proceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010). https://doi.org/10.1109/NABIC.2010.5716336