THE QUANTIFIED SELF: EXPLORING THE IMPLICATIONS OF PERSONAL DATA COLLECTION AND ANALYSIS

  • Dr. Umar Manzoor University of the Punjab
  • Prof. Miguel Rodriguez Faculty of Computer Engineering, Technical University of Madrid, Spain
Keywords: Quantified Self, personal data, self-tracking, self-optimization, privacy, ethics, algorithms, health, well-being

Abstract

The growing phenomenon of the "quantified self" refers to the practice of individuals using technology to track and analyze various aspects of their lives, from sleep patterns and fitness metrics to emotions and cognitive performance. This article delves into the potential benefits and drawbacks of this trend, examining its impact on self-knowledge, health, and privacy. Drawing on academic literature, real-world examples, and ethical considerations, it aims to provide a comprehensive understanding of the quantified self-movement and its implications for the future of personal data.

Published
2023-12-10
How to Cite
Dr. Umar Manzoor, & Prof. Miguel Rodriguez. (2023). THE QUANTIFIED SELF: EXPLORING THE IMPLICATIONS OF PERSONAL DATA COLLECTION AND ANALYSIS. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 7(4), 1-7. Retrieved from https://ijcst.com.pk/index.php/IJCST/article/view/408
Issue
Vol. 7 No. 4 (2023): INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY (IJCST)
Section
Articles