Valuable private data could prove volatile if it falls into a company’s hands without employee consent
The rise of wearable devices like the Apple Watch and Fitbit offer us the ability to turn our daily lives into an never-ending catalog of interpretable data: tracking how many steps we take, the number of calories we consume, our REM sleep cycles, and even the health of our hearts.
The system monitors physical and emotional signals that employees produce during the day and uses that data to create a performance profile over time that is designed to eliminate bias from evaluations. The technology may be in its infancy, researchers say, but it could signal the beginning of a new era of virtual assistants that will redefine our relationships with intelligent machines.
“We want to use that information to empower workers to tell them whether they’re being influenced by levels of stress or sleep or other factors that may not be immediately obvious to them.
The information was processed by cloud-based machine learning algorithms that classified performance using factors such as the amount of time spent at the workplace, quality of sleep, physical activity and phone usage. Researchers discovered that high-performing supervisors tended to be more mobile during the day, but visited a smaller number of distinct places during their working hours. High-performing non-supervisors, meanwhile, tend to spend more time at work during the weekends, researchers said.
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