Here How Privacy is Threatened in the All-New AR/VR

Here How Privacy is Threatened in the All-New AR/VR
Here How Privacy is Threatened in the All-New AR/VR

In this device, on the surface, improve the standard of living, and there are serious and negative aspects of the increase in digital media capabilities that can be complicate personal privacy and identity.

There is many years ago, if someone wanted to disappear, it would have been easier in many ways — to change identities and travel to places where no one recognized him.

However, the digital information posted online today is virtually impossible to erase from the Internet. Users have come to control over the access to digital information (for example, someone who can see their photos on Facebook), but cannot control what others do with that information.

The virtual reality of exacerbates this threat to a whole new level and its use can break personal identities and leads to violations of privacy rights.

As described later in this article, the digital footprint left by people while using VR / AR can be used to identify who is doing what and what will be done using such an imprint. Causes serious anxiety

What is a digital footprint?

The “footprint” is concept stems from an older research methodology that is tracks offender behavior by identifying the offender movement.

That is, retreat to form the series of connected actions that lead to criminals. Today, forensic scientists use the footprints to track criminals.

For example, by examining the length and width of a physical footprint, you can estimate a person’s height and determine the depth, or estimated person’s weight. Looking at plant impressions, legal professionals can learn a lot about those who have left the plants.

Likewise, people leave traces of virtual reality.

In fact, each action that takes place in the virtual world leaves a series of details and predictions imprinted, creating an archive of individual movements and social interactions, relating to other people’s emotions, personalities, ages, etc.

You can draw conclusions. Everything you do on the Internet, including comments posted on social media, web browser history, Skype calls, email records, etc.

Increased threat-privacy violations of virtual reality

Not only the amount of data stored but also the objectivity of that data makes virtual reality truly unique. In a typical investigation, a detective forms an impression of a suspect, bringing his / her own bias and his / her pre-design that he/she will later verify.

However, the analysis of virtual world data can be completely fair. Record all actions and look at the pattern with brute force. What makes such a great analysis is that the machine learning algorithm can start every time in a “blank slate” with no bias.

Research shows that virtual reality provides more accurate and cost-effective diagnostic methods and can reveal much about physical and psychological identities.

Actions that seem trivial in the virtual world, such as choosing to walk or run, typing how fast, and how people react to the virtual environment, provide insightful clues about personal identity.

The impact of a digital footprint left behind by these technologies is so great that a specific field of psychology called the cyberpsychology has been invented to study this phenomenon.

Apart from the privacy issues, the increased use of virtual reality also raises a issues related to the online bullying and cyber-existence.

the Age groups that are particularly vulnerable to these types of crime include adolescents and adolescents, which can have a significant impact on the social compass. Hackers can use the digital footprint left in VR / AR to force money from victims, or worse, forge duplicate identities with malicious intent.

Identity and predictive behavior

Digital footprints can be created in the virtual realities online games, and the social networking sites, but you can also predict identity and behavior from digital video. Since Darwin, scholars have analyzed how figures describes emotions, but in recent decades this research has accelerated.

The Computer vision tracking systems can automatically quantify slight nuances of facial movement. These facial expressions often predict subsequent behavior.

For example, the blink rate is a substitute for fatigue that has been proven to help predict individual behavior and identity. Clearly, the idea of ​​using data tracking to predict behavior is not new.

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