Positive affect and heart rate variability: a dynamic analysis

被引:2
作者
Beatton, Tony [1 ,2 ,7 ]
Chan, Ho Fai [1 ,2 ,7 ]
Dulleck, Uwe [1 ,3 ,4 ,8 ]
Ristl, Andrea [5 ]
Schaffner, Markus [2 ]
Torgler, Benno [1 ,2 ,6 ,7 ]
机构
[1] Queensland Univ Technol, Sch Econ & Finance, 2 George St, Brisbane, QLD 4000, Australia
[2] Ctr Behav Econ Soc & Technol BEST, 2 George St, Brisbane, QLD 4000, Australia
[3] Australian Natl Univ, Crawford Sch Publ Policy, Canberra, Australia
[4] Ludwig Maximilians Univ Munchen, Ctr Econ Studies, CESifo, Munich, Germany
[5] Heart2Business GmbH, A-1070 Vienna, Austria
[6] CREMA Ctr Res Econ Management & Arts, Sued Str 11, CH-8008 Zurich, Switzerland
[7] Australian Res Council Training Ctr Behav Insights, Brisbane, QLD 4000, Australia
[8] Univ Canberra, Canberra, Australia
基金
澳大利亚研究理事会;
关键词
Positive affect; Heart rate variability; Data collection; Analytical models; Interpretation; HAPPINESS; STRESS; LIFE; ADOLESCENTS; EMOTIONS; ROUTINES; UTILITY; TIME;
D O I
10.1038/s41598-024-57279-5
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Traditional survey methods can provide noisy data arising from recall, memory and other biases. Technological advances (particularly in neuroscience) are opening new ways of monitoring physiological processes through non-intrusive means. Such dense continuous data provide new and fruitful avenues for complementing self-reported data with a better understanding of human dynamics and human interactions. In this study, we use a survey to collect positive affect (feelings) data from more than 300 individuals over a period of 24 h, and at the same time, map their core activities (5000 recorded activities in total) with measurements of their heart rate variability (HRV). Our results indicate a robust correlation between the HRV measurements and self-reported affect. By drawing on the neuroscience and wellbeing literature we show that dynamic HRV results are what we expect for positive affect, particularly when performing activities like sleep, travel, work, exercise and eating. This research provides new insights into how to collect HRV data, model and interpret it.
引用
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页数:11
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