Want to boost your creative prowess? Research has found that an hour-long nap may be just the thing to help enhance your ux problem solving process - especially if that rest period includes a period of REM (rapid eye movement) sleep when most dreams happen.
This work on sleeping and creativity has just been published in the proceedings of the National Academy of Sciences.
The study involved 77 volunteers who were presented with creative problems to solve and told to think about the problem until that afternoon.
They could rest but stay awake, or take a nap under the watchful eye of the researchers.
The team found that REM sleep brought an improved ability to solve problems that was almost 40% better than subjects who had rested quietly but didn't reach the REM stage of sleep.
Before you dismiss a nap as fit only for babies or as an impossible luxury, consider the benefits of napping identified by researchers.
Naps:
- Improve memory and mood
- Boost creativity
- Enhance accuracy
Cut your caffeine intake as naps work better than a small coffee for maintaining alertness
It seems the quality of the sleep is more important to problem solving than the length of time a subject slept or even the sleep itself.
Lead researcher Professor Sara Med nick, a faculty member in the department of psychiatry at the UCSD School of Medicine explains: "We found that, for creative problems you've already been working on, the passage of time is enough to find solutions. However, for new problems, only REM sleep enhances creativity."
Experts believe that during REM sleep the brain is better able to form new nerve connections without the interference of other thoughts - which happens when we're awake or in non-REM stages of sleep. This paper confirms the importance of this stage of sleep, when most of our dreaming occurs.
What's troubling is that the National Sleep Foundation reports that as many as 40% of Americans sleep less than 7 hours a night - though generally eight hours a night is what's recommended. Two thirds of women report trouble sleeping more than three nights a week.
Each year, on the Monday following the "spring forward" of Daylight Savings Time, the sleep deprived everywhere celebrate National Napping Day.
Started back in 1999 by a Boston University professor and his wife, the day is set aside to help us all adjust to losing that hour of sleep over the weekend.
Experts note that after the time change, the number of car accidents, suicides and heart attacks goes up. Over the long haul, lack of sleep is thought to lead to an increased risk of heart disease, hypertension, diabetes, depression and obesity.
According to Med nick, those who nap and get a good night's sleep to boot have the ability to learn twice as much as those who only get a good night's sleep.
Another surprising thing about napping... not everyone needs to nap at the same time of day. Teens and young adults make the most effective use of late afternoon, around 4:00 PM, naps.
The best period for adult naps is sometime between 1:00-3:00 PM.
If you find that your nighttime sleep isn't what it should be, consider adding a short nap to your routine to help you feel more well rested, and perhaps improve your ux design problem solving skills too.
Experience gives you a massive head start in the world of business and with startups, it can actually make or break them.
This is why all startups actively look for a business consultant to weigh in on their startup business plan.
When you are choosing a firm make sure that they have ample experience in your field.
Solving problems is a massive part of running a successful startup.
Obstacles are inevitable and an entrepreneur should be geared to face them.Read More:- https://www.convrtx.com/blog/everything-you-need-to-look-for-in-a-good-business-consultant/
Artificial Intelligence (AI) and Project Management are being discussed together for a while now.
Rather seriously! There is anxiety and excitement in almost equal measures among professionals across the globe.
What makes Project Management so relevant for Artificial Intelligence (AI)?
The answer is straight forward and lies in the very definition of AI and Machine Learning (ML). Let us take a look.
Artificial Intelligence or AI sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving”.
In simpler terms, AI enables machines to learn, think and act like humans. AI uses data, servers and algorithms to train machines for specific actions such as recognizing objects, reasoning, problem solving, planning, and perception.
Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use in order to perform a specific task effectively without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence.
After careful review of both their definitions, one can safely state that AI and ML help provide deep insights from a huge data source built over time which is often difficult to track by us.
If you take a further closer look, ML enables identifying patterns and structures within the data and predict outcomes of specific activities.
Do note that the data is nothing else but “human actions and inputs recorded by various systems during the course of a specific activity or a project”.
