New concepts continue to emerge one after another in today’s digital world that are developing rapidly and changing our lives. One of the most popular subject matters and trending concepts recently is the Internet of Behaviors (loB). The concept of Internet of Behaviors (loB) is being converted into analysis processes by compiling data in order to analyze and influence people's behavior. This collected data is not only converted into analysis but also used to direct people to the contents that will interest them.
The Internet of Behaviors, which maintains its pace with rapidly changing concepts in the age of digital transformation, actually takes its source from the Internet of Things. Data-oriented approaches that started with the Internet of Things (loT) in the early 2000s are gaining a new dimension with the Internet of Behaviors (loB). loT enabled us to communicate with the physical devices and other smart devices and transfer data. loB, on the other hand, stands out as a system that analyzes people’s behavior outside of their digital lives, i.e. their real lives, and converting it into data in digital environment.
Internet of Behaviors companies that use data can clearly understand the needs of consumers and offer them appropriate products and services. As a result, companies are able to have clear data in their hands, optimize operational processes and take clearer actions for the target audience.
The wide spreading of smart devices, wearable devices and digital platforms has created a vast data network. When these data points are combined and analyzed, valuable insights into individual and collective behavior are revealed.
Ethical Considerations and Confidentiality
With the rapid development of IoB, data privacy and ethical issues are becoming more and more of a concern. The widespread collection and use of personal data raises important questions such as consent, transparency and control. The balance between gaining insights from behavioral data and protecting individual privacy has become a critical issue for regulators, businesses and the society in general. To reduce such concerns, the organizations should take strong data protection measures, establish clear consent mechanisms and comply with international privacy laws. In addition, companies should create a culture of transparency that will allow the users to learn about how their data are collected, processed and used.
Application Areas of IoB
Digital Marketing, Advertising and Social Media
Marketing agencies and individual brands can personalize their ads by analyzing customers' interactions with certain products. In this way, the users have the opportunity to see the products that interest them the most. For instance, if a sensor or wearable device detects that a person is spending more time at the gym, that person will start seeing more ads for related brands, such as protein supplements, gym trainers, or equipment. Similarly, when a person is constantly focusing on a specific muscle group, the wearable device will recommend them to work out other areas of their body as well.
Health
loB, which has a great potential in the healthcare sector as well, can help patients’ data to be tracked accurately and up-to-date with wearable health device applications and provide benefits in making the correct diagnosis.
Education and Learning
The use of IoB in education can reveal data about students' learning habits and performance. Accordingly, it can be efficient in directing the education and having a more useful process.
Urban Planning and Transportation
IoB can be used in urban planning to provide improvements in areas such as traffic management, energy consumption and resource management. Smart cities can be even more sustainable and effective.
