平行实验:从人参与到虚实混合范式

IF 19.2 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Peijun Ye;Xiao Xue;Qinghua Ni;Jing Yang;Fei-Yue Wang
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引用次数: 0

摘要

实验是科学进步的必要条件之一。在认知科学、神经科学、生物医学等与人类相关的学科中,以人类为实验对象的实验可以以可控的、系统的方式证实或否定科学假设,同时在被研究变量之间建立因果关系。这些实验还提供定性和定量分析,能够在统计上识别重要模式。因此,可靠的实验直接支持可测试和可复制的科学结论。然而,目前的实验设计受到预算和可用的候选群体的限制,在任意的尺度中选择随机的主观,这带来了一个问题,即它们如何能够代表整个研究人群。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parallel Experiments: From The Human Participated to A Virtual-Real Hybrid Paradigm
Experiment is one of the necessary conditions for scientific progress. For cognitive science, neuroscience, biomedical science and other human-related disciplines, experiments involving human subjects can confirm or disprove scientific hypotheses in a controlled and systematic manner, while establishing causal relationships between studied variables. These experiments also provide both qualitative and quantitative analysis capable of statistically identifying significant patterns. Thus, solid experiments directly support testable and replicable scientific conclusions. However, limited by the budget as well as the available candidate group, current experiment design selects random subjective in an arbitrary scale, bringing a question that how they can stand for the whole studied population.
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来源期刊
Ieee-Caa Journal of Automatica Sinica
Ieee-Caa Journal of Automatica Sinica Engineering-Control and Systems Engineering
CiteScore
23.50
自引率
11.00%
发文量
880
期刊介绍: The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control. Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.
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