The Internet of Things (IoT) is a network of interconnected physical objects that gather and exchange information and data over the internet. The number of Internet of Things (IoT) devices has doubled over the past five years and these things are everywhere with us today, from wearable technologies to remote access to electrical devices in your home. The shift to mobile devices has changed the way we interact with the world around us. The collection of usage data and data by these IoT devices provides valuable information about users’ behavior, interests, and preferences. Thus the concept of Internet of Behavior (IoB) was born.
What is the Internet of Behavior (IoB)? Many cited 2012 as the opening date of IoB when psychology professor Gothe Nyman described the possibility of obtaining detailed data on customers’ use and behavior as they interact with the Internet of Things (IoT). But the idea of analyzing data received from consumers for business purposes is not new. We now have an automated ecosystem of analytic processes that track, collect, and attempt to interpret the vast amounts of data we generate through our online and Internet activities.
Think of it as an amalgamation of technology, data analytics and behavioral science. It is essentially trying to make sense of human behaviour through data mining. Devices related to location, facial recognition and more can essentially act as guides to mapping customer behaviour.
The IoB concept seeks to address how to understand data properly and apply that understanding to create and promote new products from a human psychology perspective.
The Internet of Behavior collects the digital dust of people’s lives from a variety of sources, and public or private organizations can use this information to influence behavior
Let’s look at the web platform example when a user interacts with it from a laptop, and another time from his smartphone. The data will differ in how the user interacts with the resource, namely which buttons he clicks, how he moves around the page.
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