Context-Contingent Privacy Concerns and Exploration of the Privacy Paradox in the Age of AI, Augmented Reality, Big Data, and the Internet of Things: Systematic Review.

Journal: Journal of medical Internet research
PMID:

Abstract

BACKGROUND: Despite extensive research into technology users' privacy concerns, a critical gap remains in understanding why individuals adopt different standards for data protection across contexts. The rise of advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), augmented reality (AR), and big data has created rapidly evolving and complex privacy landscapes. However, privacy is often treated as a static construct, failing to reflect the fluid, context-dependent nature of user concerns. This oversimplification has led to fragmented research, inconsistent findings, and limited capacity to address the nuanced challenges posed by these technologies. Understanding these dynamics is especially crucial in fields such as digital health and informatics, where sensitive data and user trust are central to adoption and ethical innovation.

Authors

  • Christian Herriger
    Imperial Business School, Imperial College London, London, United Kingdom.
  • Omar Merlo
    Imperial Business School, Imperial College London, London, United Kingdom.
  • Andreas B Eisingerich
    Imperial Business School, Imperial College London, London, United Kingdom.
  • Annisa Rizkia Arigayota
    Imperial Business School, Imperial College London, London, United Kingdom.