Skip to main content

PERSPECTIVE article

Front. Hum. Dyn.
Sec. Digital Impacts
Volume 6 - 2024 | doi: 10.3389/fhumd.2024.1406943

Co-Ability and Embodied Data: Blurring the Lines between Human and Nonhuman Entities in an Interconnected World

Provisionally accepted
  • Moholy-Nagy University of Art and Design, Budapest, Hungary

The final, formatted version of the article will be published soon.

    This paper explores the dynamic interplay between human and nonhuman 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 I propose the concept of co-Ability as a deep underlying explanatory framework for understanding adaptive behaviors within a networked world. A non-verbal dialogue 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 in a material way. 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 digital and analog domains, with data constantly bifurcating into multiple pathways and outcomes.A significant challenge addressed in this paper is the question of how to frame information in a material way, inviting further exploration.

    Keywords: co-Ability1, action-oriented2, tangible media3, digital craft4, predictive coding5, data physicalization6, embodiment7, bifurcation8

    Received: 25 Mar 2024; Accepted: 08 Jul 2024.

    Copyright: © 2024 Dezso. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Renata Dezso, Moholy-Nagy University of Art and Design, Budapest, Hungary

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.