Mental fatigue is inevitable. However, it is very difficult to recognize and reliably determine and manage our own level of fatigue. Fatigue is a major, but often neglected, factor that increases the occurrence of performance errors and lapses. Many studies have demonstrated that mental fatigue leads to loss of efficiency, decreased productivity in the workplace, deterioration in cognitive fucntions and induces critical errors in the worst cases. Responses become slower, more variable, and more error prone after mental fatigue. ([1] Ricci et al., 2007; [2] Scheffers et al., 1999; [3] Dorrian et al., 2000; [4] Smith et al., 2002;)
Measure employees mental fatigue in real-time with our application and provide analysis and reports to improve the wellness and productivity of the company.
With its machine learning algorithm, Performetric is able to recommend breaks when needed; consequently reducing mental fatigue of the user by up to 50%. Reducing mental fatigue results in a decrease in the number of errors and reaction time.
With Performetric, tasks can be performed at the most effective time resulting in increased productivity and efficiency of your workforce.
Performetric’s timely recommendations boost mental energy resulting in overall increase in cognitive alertness, concentration and engagement.
“Take care of your employees and they’ll take care of your business” - Richard Branson
Happy & Engaged Employees are the heart of a great workplace culture and successful organization. With Performetric, show your employees you care and make them feel appreciated by investing in their mental health and wellbeing.
Sign up for a free 30 day trial and explore Performetric at its full potential. You’ll have access to all the features and will be able to effectively reduce the mental fatigue of your workforce.
1. Judith A, Ricci J, Chee E, Lorandeau A, Berger M. Fatigue in the U.S. Workforce: Prevalence and Implications for Lost Productive Work Time. JOEM. 2007;49(1):1–10.
2. M. K. Scheffers, D. G. Humphrey, R. R. Stanny, A. F. Kramer, M. G. Coles, 1999 “Error-related processing during a period of extended wakefulness”, Psychophysiology, 36 149157.
3. J. Dorrian, N. Lamond, D. Dawson, 2000 “The ability to self-monitor performancewhen fatigued”, J. Sleep Res., 9 137144.
4. M. E. Smith, L. K. Mc Evoy, A. Gevins, 2002 “The impact of moderate sleep loss on neurophysiologic signals during working-memory task performance”, SmithM. E.Mc EvoyL. K.GevinsA. 2002.
