Description: The ‘Quantified Self’ movement refers to the practice of using technology to collect and analyze data about various aspects of an individual’s daily life. This approach is based on the premise that self-observation and data analysis can lead to a better understanding of oneself, as well as the optimization of health, well-being, and productivity. Through connected devices, mobile applications, and online platforms, users can monitor metrics such as physical activity, sleep quality, diet, and other daily habits. This phenomenon is framed within the context of the Internet of Things (IoT) and modern technological advancements, where the interconnection of devices and real-time data collection are fundamental. ‘Quantified Self’ not only promotes self-assessment but also fosters a data culture, where individuals become their own analysts, using information to make informed decisions and improve their quality of life. This movement has gained popularity in the last decade, driven by the advancement of wearable technology and the growing awareness of personal health and well-being.
History: The term ‘Quantified Self’ was coined in 2007 by Gary Wolf and Kevin Kelly, co-founders of Wired magazine, during a conference discussing the use of technology for self-observation. Since then, the movement has evolved, driven by the development of wearable devices such as fitness trackers and mobile applications that allow users to track their health and habits. Over the years, conferences and meetups dedicated to this topic have been held, promoting a community of people interested in personal data collection.
Uses: The applications of the ‘Quantified Self’ movement are diverse and include tracking physical activity, monitoring sleep, managing stress, and improving diet. Wearable devices, such as smartwatches and fitness trackers, allow users to collect real-time data about their health and well-being. Additionally, mobile applications provide analysis and personalized recommendations based on the collected data, helping users set and achieve personal goals.
Examples: Concrete examples of the ‘Quantified Self’ movement include the use of devices like fitness trackers that measure physical activity and sleep, and applications that allow users to log their food intake and calories. Another example is the use of platforms that integrate data from different devices and applications to provide a comprehensive view of the user’s health.
