Measurement of Heart Rate and Heart Rate Variability in NeuroIS Research: Review of Empirical Results

被引：0
|
作者：
Stangl, Fabian J. [1 ]
Riedl, Rene [1 ,2 ]
机构：
[1] Univ Appl Sci Upper Austria, Steyr, Austria
[2] Johannes Kepler Univ Linz, Linz, Austria
来源：
INFORMATION SYSTEMS AND NEUROSCIENCE, NEUROIS RETREAT 2022 | 2022年 / 58卷
基金：
奥地利科学基金会;
关键词：
Heart Rate (HR); Heart Rate Variability (HRV); NeuroIS; Autonomic Nervous System (ANS); Empirical Studies; ELECTRONIC EVALUATION; INFORMATION-SYSTEMS; PSYCHOLOGY; EMOTIONS; CORTISOL; AROUSAL; STRESS; FUTURE; TOOLS;
D O I：
10.1007/978-3-031-13064-9_29
中图分类号：
B84 [心理学];
学科分类号：
04 ; 0402 ;
摘要：
Heart rate (HR) and heart rate variability (HRV) measurements are important indicators of an individual ' s physiological state. In Neuro-Information-Systems (NeuroIS) research, these physiological parameters can be used to measure autonomic nervous system (ANS) activity, contributing to a better understanding of cognitive and affective processes in the Information Systems (IS) discipline. Based on a previous systematic literature analysis (Stangl and Riedl, 2022 [1]), in the present paper we review the major empirical results of NeuroIS research based on HR and HRV measurement. Thus, this review provides insights to advance the field from an empirically grounded perspective.
引用
收藏
页码：285 / 299
页数：15
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