Artificial intelligence (AI) and the Internet of Things (IoT) naturally led to the development of the Internet of behaviors (IoB), often referred to as the Internet of Behavior. IoB is a research area that combines the three fields of study behavioral science, data analysis, and IoT. IoB tries to explain how data are utilized to create and advertise new products in a more human psychology-based way. One of the main technological developments of is the Internet of Things (IoT).
1. Comprehensive Coverage of IoB Technologies: The book provides in-depth coverage of various Internet of Behavior (IoB) technologies, including sensors, data processing techniques, IoT devices, and connectivity protocols, ensuring readers gain a thorough understanding of the technical aspects involved.
2. Practical Applications and Case Studies: It includes numerous real-world case studies and practical examples illustrating the application of IoB concepts in diverse fields such as healthcare, marketing, urban planning, and more. These examples offer insights into how IoB technologies are being implemented and their impact on different sectors.
3. Advanced Data Analytics Techniques: Readers are introduced to advanced data analytics techniques, including machine learning, predictive analytics, and big data analytics, specifically tailored for behavior analysis. The book delves into the intricacies of these techniques and their relevance in extracting meaningful insights from behavioral data.
4. Ethical Considerations and Regulatory Frameworks: The book addresses ethical considerations surrounding IoB, including privacy issues, data security, and the responsible use of behavioral data. It also discusses regulatory frameworks and guidelines governing IoB research and implementation, ensuring readers understand the ethical implications of IoB technologies.
5. Emerging Technologies and Future Trends: It explores emerging technologies shaping the future of IoB, such as artificial intelligence, augmented reality, and edge computing. Readers gain insights into the latest advancements in IoB research and development, as well as predictions for future trends in the field.
6. Interactive Learning Resources: The book offers interactive learning resources, including online supplementary materials such as datasets, code samples, and interactive tutorials. These resources enable readers to apply theoretical concepts in practical scenarios, reinforcing their understanding of IoB technologies and methodologies.
Intend to useResearchers, students, Industry researchers, and working professionals.