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Co-Ability and embodied data: blurring the lines between human and nonhuman entities in an interconnected world.
- Source :
- Frontiers in Human Dynamics; 2024, p1-5, 5p
- Publication Year :
- 2024
-
Abstract
- This article explores the dynamic interplay between human and non-human entities, focusing on how embodied data representation is distributed. It examines how predictive coding, which utilizes preconceived knowledge, interacts with tangible experiences to shape our understanding of the world. Emphasizing this, I propose the concept of co-Ability as a deep underlying explanatory framework for understanding adaptive behaviors within a networked world. A nonverbal dialog between humans and a data-saturated environment is analyzed through an action-oriented perspective and the predictive coding framework in cognition, utilizing digital craft and rapid prototyping. This transformative approach augments human interaction with digital landscapes through tangible prototypes, bridging physical experience with abstract information, and identifying potential ways to conceptualize data materially. The article discusses the various aspects of connectivity among network agents and the evolving nature of these connections as they adapt to real-world conditions and dynamic shifts in data, highlighting that information exchange in an interconnected network is more than bilateral; it generates ripple effects that extend beyond immediate connections. These reciprocal exchanges simultaneously alter both the digital and analog domains, with data constantly bifurcating into multiple pathways and outcomes. A significant challenge addressed in this article is the question of how to frame information materially, inviting further exploration. [ABSTRACT FROM AUTHOR]
- Subjects :
- RAPID prototyping
SOCIAL interaction
HUMAN ecology
INFORMATION sharing
COGNITION
Subjects
Details
- Language :
- English
- Database :
- Complementary Index
- Journal :
- Frontiers in Human Dynamics
- Publication Type :
- Academic Journal
- Accession number :
- 178871088
- Full Text :
- https://doi.org/10.3389/fhumd.2024.1406943