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Know Thyself: Data Driven Self-Awareness for Understanding Our Unconscious Behaviors - Citizen Science Genetics for sleep and wellness research

机译:了解自己:数据驱动的自我意识,了解我们无意识的行为 - 睡眠和健康研究的公民科学遗传学

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We have been testing the hypotheses that our unconscious behaviors are often more predominant than our conscious behaviors. We have tried to quantify the degree of influence of our genetic factors and unconscious signals from the environment in our behaviors. In this paper, the concept and the research framework of MyFinder proposed by the authors are discussed. MyFinder combines the notion of intelligent agent from the artificial intelligence (AI) community and personal genome research results from the biomedical community. One of the important objectives of MyFinder is to allow the person to be conscious of (i.e., be aware of) her/his unconscious behaviors. The on-going experiments related to the Quantified Self (QS) and Citizen Science, as well as author's real experiences are introduced. We discuss the meaning of self-awareness and the social impact of our findings.
机译:我们一直在测试假设,以至于我们的无意识行为往往比我们的意识行为更为占主导地位。我们试图量化我们行为中环境的遗传因素和无意识信号的影响程度。在本文中,讨论了作者提出的MURFINDER的概念和研究框架。 MyFinder将智能代理人的概念与人工智能(AI)社区和个人基因组研究结果相结合。 MyFinder的一个重要目标是让人们意识到(即,意识到)她/他的无意识行为。介绍了与量化的自我(QS)和公民科学以及作者真正经历的正在进行的实验。我们讨论了自我意识和我们调查结果的社会影响的含义。

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