Fitness trackers and wearables are becoming ubiquitous but their data discrepancies are large
There is a clear need for a more formalised and standardised approach to validation of devices.
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Back in 2010, Gary Wolf, then the editor of Wired magazine, delivered a TED talk in Cannes called “the quantified self”. It was about what he termed a “new fad” among tech enthusiasts. These early adopters were using gadgets to monitor everything from their physiological data to their mood, and even the number of nappies their children used.
Wolf acknowledged that these people were outliers – tech geeks fascinated by data – but their behaviour has since permeated mainstream culture.
From the smartwatches that track our steps and heart rate, to the fitness bands that log sleep patterns and calories burned, these gadgets are now ubiquitous. Their popularity is emblematic of a modern obsession with quantification – the idea that if something isn’t logged, it doesn’t count.
At least half the people in any given room are likely wearing a device, such as a fitness tracker, that quantifies some aspect of their lives. Wearables are being adopted at a pace reminiscent of the mobile phone boom of the late 2000s.
However, the quantified self movement still grapples with an important question: can wearable devices truly measure what they claim to?
Along with my colleagues Maximus Baldwin, Alison Keogh, Brian Caulfield and Rob Argent, I recently published an umbrella review (a systematic review of systematic reviews) examining the scientific literature on whether consumer...