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Methodological lessons in neurophenomenology: Review of a baseline study and recommendations for research approaches

机译:神经现象学的方法论课程:基线研究的回顾和研究方法的建议

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摘要

Neurophenomenological (NP) methods integrate objective and subjective data in ways that retain the statistical power of established disciplines (like cognitive science) while embracing the value of first-person reports of experience. The present paper positions neurophenomenology as an approach that pulls from traditions of cognitive science but includes techniques that are challenging for cognitive science in some ways. A baseline study is reviewed for “lessons learned,” that is, the potential methodological improvements that will support advancements in understanding consciousness and cognition using neurophenomenology. These improvements, we suggest, include (1) addressing issues of interdisciplinarity by purposefully and systematically creating and maintaining shared mental models among research team members; (2) making sure that NP experiments include high standards of experimental design and execution to achieve variable control, reliability, generalizability, and replication of results; and (3) conceiving of phenomenological interview techniques as placing the impetus on the interviewer in interaction with the experimental subject.
机译:神经现象学(NP)方法以保留既有学科(例如认知科学)的统计能力,同时又包含第一人称经验报告的价值的方式,整合了客观和主观数据。本论文将神经现象学定位为一种从认知科学的传统中汲取的方法,但包括在某些方面对认知科学具有挑战性的技术。对基线研究进行了回顾,以吸取“经验教训”,即潜在的方法学改进,这些改进将支持使用神经现象学在理解意识和认知方面的进步。我们建议这些改进包括:(1)有目的地,系统地创建和维护研究团队成员之间共享的心理模型,从而解决跨学科问题; (2)确保NP实验包括高标准的实验设计和执行,以实现可变的控制,可靠性,通用性和结果的复制; (3)构思现象学访谈技术,即通过与实验对象的互动来推动访谈者。

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