Stream your brain! Speculative economy of the IoT and its pan-kinetic dataveillance

Datos Bibliográficos

ID5261150
AutoresSungyong Ahn (0000-0002-5072-6542, The University of Queensland, autor de correspondencia)
Año2021
Volumen8
Número2
Fecha de publicación2021-07-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaBig Data & Society (JOURNAL)
Identificadores de la revistaISSN: 2053-9517 • E-ISSN: 2053-9517
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1177/20539517211051973
OpenAlexW3210368455
IdiomaEN
Citas recibidas3
Referencias citadas36

It is now a common belief that the truths of our lives are hidden in the databases streamed from our interactions in smart environments. In this current hype of big data, the Internet of Things has been suggested as the idea to embed small sensors and actuators everywhere to unfold the truths beneath the surfaces of everything. However, remaining the technology that promises more than it can provide thus far, more important for the IoT's actual expansion to various social domains than the actual discovery of hidden truths has been people's speculations about the unknown problems, such as hidden security issues or lifestyle concerns, beyond the narrow human knowability but assumed to leave their traces in the IoT-collected big data. This paper discuss this speculation as the concealed cognitive labor of IoT users that projects some fictitious values to the big data IoT companies accumulate. By the term pan-kinetics, the systemic operation of smart actuators is analyzed as the process through which fictitious values of data are converted to the real values as these actuators draw some profitable correlations from physical domains of the IoT. Analyzing smart electroencephalogram (EEG) headsets as the unique IoT devices operating on human brains, it argues how the IoT translates this speculative realism of unknown problems into its big data, which the IoT developers believe to be full of machine-learnable correlations that would lead to the smart solutions of the problems

Big data · Business · Computer security · Data mining · Data science · Internet of Things · Speculation · Computer Science · Embodied and Extended Cognition · IoT and Edge/Fog Computing · Personal Information Management and User Behavior · Artificial Intelligence