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Time in nature is perceived differently

06.04.2024

In today's world, saturated with technology and the fast pace of life, the perception of time plays a key role in our daily experience. However, new research by scientists has revealed that our perception of time can change significantly depending on the environment around us. This impact is especially noticeable from nature.

A study led by psychologist Ricardo Correia from the University of Turku in Finland found an interesting connection between our perception of time and exposure to natural environments. Scientists have found that time seems to pass slower when we are outdoors, away from the hustle and bustle of the city.

Walking through the countryside or spending time in green parks creates the feeling that time is increasing. This effect of nature extends not only to current moments, but also to our perception of the past and future. Through contact with nature, we become less prone to instant gratification, preferring long-term goals.

Why does nature have such an impact on our perception of time? This is due to the many benefits that come from being in a natural environment. Scientists note that nature helps reduce anxiety, improve sleep and overall well-being. These factors influence how we perceive the past, present and future.

However, access to nature is not always easy, especially for city dwellers. Creating green spaces in urban areas is becoming increasingly important to make the benefits of nature available to everyone. For those who don't have access to nature often, other strategies can help, such as time-use audits or reducing time spent on digital devices.

Nature has a significant impact on our perception of time and overall well-being. Understanding this connection can help us manage our time more effectively and strive for a more balanced lifestyle.

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The car will predict the traffic situation 28.01.2014

American automaker Ford Motor has announced a collaboration with specialists from the Massachusetts Institute of Technology and Stanford University in the development of unmanned vehicle control technologies. Scientists will create algorithms with the help of which cars will be able to independently navigate in space.

At the end of 2013, Ford announced an autonomous version of the Fusion Hybrid, which is capable of driving on the roads without the participation of a driver. The car is equipped with circular video cameras, laser radars and various sensors that scan the traffic situation, and the on-board computer builds a three-dimensional map of space based on this information and, using special algorithms developed at the University of Michigan, controls the movement of the car in a specific situation.

MIT employees are tasked with creating road prediction technologies that will predict the behavior of people and cars in order to avoid collisions with them. It is assumed that robotic vehicles will be able to “see” in advance the sudden appearance of a pedestrian on the roadway or the passage of a car at an intersection at a red traffic light.

Stanford engineers are also working on technologies that can expand the view of the road when it is blocked by large objects, such as a truck. On narrow roads, when driving behind a truck or bus, drivers often drive into oncoming traffic to assess the situation ahead and overtake. Sometimes such “peeping” is very dangerous, but with the help of cameras, sensors and a “smart” computer, according to the developers, such maneuvers can be secured.

Earlier, Auto.CNews talked about a virtual windshield that allows you to literally see "through" the cars ahead. The system, called the See-Through System, involves the use of special car DVRs and high-speed image volume.

The development of unmanned vehicle control systems or some of its functions at Ford is carried out as part of the Blueprint for Mobility project, launched in 2012 to predict the development of the transport system in the near future. The automaker promises to have self-driving cars on public roads by 2025, which is later than some competitors.

For example, Audi, BMW and General Motors have announced plans to begin production of self-driving cars by 2020. Tesla, a premium electric car manufacturer, expects to introduce a civilian self-driving car in two years, but specifies that driver intervention will still be required at first.

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