JOURNAL ARTICLE
Intersubjectivity, Empathy, Life-World, and the Social Brain: The Relevance of Husserlian Neurophenomenology for the Anthropology of Consciousness.
Published In: Anthropology of Consciousness, 2023, v. 34, n. 1. P. 229 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: LAUGHLIN, CHARLES D. 3 of 3
Abstract
Our species of hominin, Homo sapiens, is an extremely social animal. We are born with social brains. The phenomenology of Edmund Husserl is a methodological approach to social consciousness that offers significant advantages in terms of uncovering and describing the essential structures of our social perceptions and actions. This is especially true in this period of postneuro-turn social science, because the structures described by Husserlian "pure" phenomenology with its emphasis upon "returning to the things," performing reductions, and developing the skills available to the phenomenological attitude are in synch with neuroscientific research on the neural correlates of consciousness. For the anthropology of consciousness, the Husserlian methodology allows us to explore consciousness in cross-cultural settings in greater detail and depth of understanding. This is especially the case with respect to the experience of intersubjectivity, the roots of which are found to be part of the inherent lifeworld that all normal humans depend upon to true their experiences of the environing world, regardless of cultural background. The Husserlian approach to intersubjectivity challenges the discipline of anthropology to move past its kneejerk distinction between nature and nurture, and its erroneous assumption that human experience is somehow "culture all the way down". [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Anthropology of Consciousness. 2023/03, Vol. 34, Issue 1, p229
- Document Type:Article
- Subject Area:Literature and Writing
- Publication Date:2023
- ISSN:1053-4202
- DOI:10.1111/anoc.12171
- Accession Number:163133648
- Copyright Statement:Copyright of Anthropology of Consciousness is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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