Supporting and Shaping Human Decisions Through Internet of Behaviors (IoB): Perspectives and Implications

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Abstract

The rise of the Internet of Behaviors (IoB) has paved the way for new opportunities to support and shape human decision-making. IoB refers to the collection, analysis, and use of digital data generated by human activities to inform decision-making processes. This technology has the potential to significantly impact various aspects of our lives, including healthcare, education, finance, and transportation. This chapter explores the perspectives and implications of using IoB for supporting and shaping human decision-making. The chapter examines the extent to which IoB systems can influence human behavior and decision-making, and the ethical implications of such influence. It considers the benefits and challenges of using IoB in various domains, such as healthcare and education. The chapter also analyzes real-world examples of IoB systems in use, and their impact on human decision-making and behavior. The findings of this chapter will have important implications for both researchers and practitioners in the field of IoB. For researchers, the chapter provides a comprehensive overview of the current state of knowledge on the impact of IoB on human decision-making. For practitioners, the chapter offers insights into the ethical and practical considerations of using IoB for shaping human decisions and behavior, and offers recommendations for future research and development in this field.

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Damaševičius, R., Maskeliūnas, R., & Misra, S. (2023). Supporting and Shaping Human Decisions Through Internet of Behaviors (IoB): Perspectives and Implications. In Studies in Computational Intelligence (Vol. 1105, pp. 115–144). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-37454-8_6

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