Internet der Verhaltensweisen (IoB)4

IoB is a process in which user data is analyzed in terms of behavioral psychology. Based on this analysis, new approaches for the development of the user experience (UX), the optimization of the search experience (SXO) and for End products and business services and their promotion.

If you’ve heard of the Internet of Things (IoT), you should know that the IoT extends to the Internet of Behavior as well.
The Internet of Things (IoT) is about how to use it of data and insights to influence behavior. IoT devices are possible as extensive databases for IoB paradigms (Internet of Behavior).

Internet der Verhaltensweisen (IoB)


Companies can track customer behavior and use IoB to leverage IoB to leverage their respective channels. For example, a health tracking app can collect information about your physical activity, diet, sleep and other habits.
This information can be used to encourage more behavioral improvements, for example by creating personalized health plans.

The Internet’s Value of Behavior Marketing and psychology from the dawn of advertising go side by side. In this way, behavior analysis and psychology have given new insights into the data collected by the Internet of Things.

The IoB can become a powerful new marketing and sales tool for businesses and organizations around the world. This tool gives you a deep understanding of your customers that is required for any business.

Internet der Verhaltensweisen (IoB)

Of course, analysis, A / B testing, SWOT analysis, and many other techniques have helped the company for years develop its product and marketing strategies to develop and promote products that users want to buy. The Internet of Behavior should significantly boost the development of the sales industry.

With this concept, companies can analyze past performance and predict the future. The data collected through the Internet of Things forms the basis for companies to plan their development, marketing and sales efforts.

Other cases of using IoB

The IoB is of value to businesses and other nonprofits such as health care or government enforcement organizations. Let’s take a look at how this concept is applied today:

During the pandemic, computer vision organizations started using IoB to tell whether a person was wearing a mask or not. In some cases, thermal imaging cameras have also been used to identify people with elevated body temperatures.


With a smartphone, you can track a person’s geographic location so that the system recognizes whether you have visited a supermarket or a beauty salon, as well as the length of your stay. In this way, Uber uses IoT data to analyze the preferences of its target audience and find new approaches for customers. These days, big brands know almost everything about consumers, from interests to the logic customers use when shopping.

Internet der Verhaltensweisen (IoB)


In China it became possible with the help of artificial intelligence and in particular facial recognition to introduce a system for evaluating social credits in the country. Do not forget that the introduction of AI into the lives of the Chinese is to ensure the security and systematization of the data, as well as the pursuit of loyalty to the current regime.

In 2018 the facial recognition system was successfully integrated into the development of Directorix Barista for coffee houses. As a result, the product determines gender, age, and mood . It analyzes the results and offers the customer a suitable drink. The same system can be used in stores for personalized advertising.
It is not an exhaustive list of how organizations and businesses can use the Internet of Behaviors to drive sales and brand loyalty. We have our case with IoB, which we will talk about below.

Our expertise

At GBKSOFT we worked on a unique IoT project in which the IoB concept is also implemented. The essence of the project was to help golfers improve their playing skills using a mobile app and track wearable devices, namely correcting existing ball-hitting techniques and learning new techniques. The process is structured like this. Before starting exercise, the player puts on a portable device connected to their mobile device and begins exercising. Every stroke on the golf ball is recorded and analyzed in the application (measured using the force of the stroke, the trajectory, the angle, etc.). As a result, the player can see their mistakes and receive visual recommendations on how to improve their swing and stroke.

A mutually beneficial ecosystem

The IoB is only as good as the data it feeds, and with so much data it is reasonable to consider how users’ personal data will be protected in this new landscape. Axios recently outlined some of these potential privacy concerns in real-world scenarios – including how drivers might want to share speed, braking and location data with insurers to negotiate lower premiums, but may object to law enforcement accessing the same information. IoB must offer mutual benefit to both parties, otherwise, there is a risk that it will be rejected by consumers. “

The IoB will inevitably open “Pandora’s box of surveillance and disclosure of personal information”. The larger the IoB, the more vulnerable users are to phishing attempts and data hacking. However, as the world becomes increasingly connected to the IoT, the IoB itself is inevitable. Fortunately, the agile approach is ideal for creating not only a better, but also a more secure IoB.

Traditional software development considers information security at the beginning of a product development cycle and then again at the end when the product goes through integration tests. Alternatively, the most forward-thinking organizations have found ways to incorporate security into every step of the agile process.

Just like the required product functions, security requirements can and should be taken into account when developing user stories. As agile practitioners know, only stories end up in the product that go from the product jam to the sprint. If security is (and should) important, it has to have a place in the user story.

The more security concerns a product has, the more expertise your cross-functional team will need. In addition to the relative time it takes to write a particular piece of code, story points need to take into account the relative risk associated with a particular task. The more sensitive the data on which a product relies, the greater the relative risk that arises if the task is not carried out properly.

Adequately identifying risks while showing the story helps agile teams constantly rethink what it is about. An agile framework like Scrum, as the name suggests, is an effective guide for delivering software faster. It’s also a map for quickly navigating new security and privacy concerns as they arise. With this in mind, the emerging IoB relies on agile technology leaders to understand the relative risk that user data brings to any project and to assemble the right team to keep users happy and secure.

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By Muhammad Awais

My Name is Muhammad Awais. I am the Founder and Editor-in-Chief of ‘Tech Info Newz,’ I am a cybersecurity analyst, Information Security professional, developer, and whitehat hacker. You can contact me at admin@techinfonewz.com

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