The Internet of Things (IoT) is a field that brings together different entities such as the Internet, sensors, and processors among others, to develop a system that is capable of processing data derived from the nodal devices for the purpose of monitoring and controlling an environment. With billions of IoT devices currently deployed all over the world, there clearly isn’t a dearth of data. However, the enormous amount of data generated by the IoT devices wasn’t being manipulated to understand human behavior, which paved the way for an upgrade in the form of the Internet of Behaviors.
The Internet of Behavior or IoB is a concept that brings together the best of data analysis, behavioural analysis, and technology along with human psychology. Through this amalgamation, the system is able to predict human behavior, draw insights from available data, and even influence human behavior based on the activities and interests of persons collected from their interactions. Organizations that are looking to sell products or services can influence our behavior based on targeted content that has been curated specifically for an individual based on their preferences and interactions.
The data is collected using the same methods that IoT uses to collect data. Although most IoT devices seem to work on a surface level where they collect data from sensors and other connected devices, IoB collects information from transactions, geo-tagging activities to relate particular locations to certain interests, browser history and cookies, social media interactions to understand what every user relates to, and other online activities that reflect personal behaviour.
The data that is collected from all of these sources are then processed through various means in order to understand what kind of data needs to be generated for an individual. For example, if a device picks up instances of a person’s increased interaction with grocery shopping, targeted ads or suggestions could pop up in that person’s feed related to various offers and discounted prices for groceries. And that is just one of the myriad possibilities.
With the Internet of Behavior set to keep a tab on the activities of approximately 40% of people across the world, we are set to witness a large-scale, individual-centric approach to data analytics. By monitoring the behavior of people, these systems can predict patterns that can be used to link behavior to activities. For example, in the current scenario, an IoB network based on facial recognition and image processing could be implemented to check whether people wear masks or not.
Although IoB has the potential to be a game-changer, it does have its drawbacks and ethical concerns. Because of its dependence on data related to human interactions and activities for personalized analytics, many have been concerned about privacy issues and other threats that may stem from constant monitoring. However, some applications in the fields of defense, healthcare, and finance are set to gain advantage of constant monitoring and analysis. In fact, with enough transparency to the system and better security, the IoB technology can prove to be a valuable addition to our technological arsenal.
Personalizing information is the future. Targeted advertisements, custom notifications and reminders, data acquisition for personalized care, and influencing behaviour positively are some of the applications that are set to see a reinvigorated approach with the inclusion of IoB technology. With almost 3 billion people set to experience IoB in various capacities, the technology is sure to have an impact on the future of service effectiveness. However, as IoB is still in its nascent stage, all we can do now is wait for it to unfold its potential.
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