Skip to main content

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

  • Chapter
  • First Online:
Machine Intelligence for Smart Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1105))

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Rahaman T (2022) Smart things are getting smarter: an introduction to the Internet of Behavior. Medical reference services quarterly 41(1):110–116

    Article  Google Scholar 

  2. Sutikno T, Thalmann D (2022) Insights on the Internet of Things: past, present, and future directions. Telkomnika (Telecommun Comput Electron Control) 20(6):1399–1420

    Article  Google Scholar 

  3. Yunana K, Alfa AA, Misra S, Damasevicius R, Maskeliunas R, Oluranti J (2021) Internet of Things: applications, adoptions and components—a conceptual overview. Advances in intelligent systems and computing, vol 1375

    Google Scholar 

  4. Conti M, Passarella A (2018) The Internet of people: a human and data-centric paradigm for the next generation internet. Comput Commun 131:51–65

    Article  Google Scholar 

  5. Elayan H, Aloqaily M, Karray F, Guizani M (2022) Decentralized IoB for influencing IoT-based systems behavior. In: IEEE international conference on communications, vol 2022, May, pp 3340–3345

    Google Scholar 

  6. Adewoyin O, Wesson J, Vogts D (2022) The PBC model: supporting positive behaviours in smart environments. Sensors 22(24):9626

    Article  Google Scholar 

  7. Afor ME, Sahana S (2022) The Internet of Behaviour (IOB) and its significant impact on digital marketing. In: 2022 international conference on computing, communication, and intelligent systems (ICCCIS)

    Google Scholar 

  8. Javaid M, Haleem A, Singh RP, Rab S, Suman R (2021) Internet of Behaviours (IoB) and its role in customer services. Sens Int 2:100122

    Article  Google Scholar 

  9. Kuftinova NG, Ostroukh AV, Maksimychev OI, Odinokova IV (2021) Road construction enterprise management model based on hyperautomation technologies. In: Intelligent technologies and electronic devices in vehicle and road transport complex. TIRVED 2021

    Google Scholar 

  10. Embarak OH (2022) Internet of Behaviour (IoB)-based AI models for personalized smart education systems. Procedia Comput Sci 203:103–110

    Article  Google Scholar 

  11. Embarak OH, Aldarmaki FR, Almesmari MJ (2022) Towards smart education in IoT and IoB environment using the neutrosophic approach. Int J Neutrosophic Sci 19(1):82–98

    Article  Google Scholar 

  12. Embarak OH, Almesmari MJ, Aldarmaki FR (2022) Apply neutrosophic AHP analysis of the Internet of Things (IoT) and the Internet of Behavior (IoB) in smart education. Int J Neutrosophic Sci 19(1):200–211

    Article  Google Scholar 

  13. Schwab K (2016) The fourth industrial revolution. Foreign Aff 96:44–52

    Google Scholar 

  14. Schwab K (2018) Shaping the fourth industrial revolution. Foreign Aff 97:43–50

    Google Scholar 

  15. Schwab K (2021) The fourth industrial revolution. Currency

    Google Scholar 

  16. Díaz D, Boj C (2023) A critical approach to machine learning forecast capabilities: creating a predictive biography in the age of the internet of behaviour (iob). Artnodes 31:2023

    Google Scholar 

  17. Bzai J, Alam F, Dhafer A, Bojović M, Altowaijri SM, Niazi IK, Mehmood R (2022) Machine learning-enabled Internet of Things (IoT): data, applications, and industry perspective. Electronics 11(17)

    Google Scholar 

  18. Srimaharaj W, Chaisricharoen R (2022) Internet of Behavior and brain response identification for cognitive performance analysis. In: 2022 Asia-Pacific signal and information processing association annual summit and conference, APSIPA ASC 2022, pp 1308–1311

    Google Scholar 

  19. Zhang G, Poslad S, Rui X, Yu G, Fan Y, Song X, Li R (2021) Using an Internet of Behaviours to study how air pollution can affect people’s activities of daily living: a case study of Beijing, China. Sensors 21(16)

    Google Scholar 

  20. Stary C (2021) Digital twin generation: re-conceptualizing agent systems for behavior-centered cyber-physical system development. Sensors 21(4):1–24

    Article  Google Scholar 

  21. Halgekar A, Chouhan A, Khetan I, Bhatia J, Shah N, Srivastava K (2021) Internet of Behavior (IoB): a survey. In: 2021 5th international conference on information systems and computer networks, ISCON 2021

    Google Scholar 

  22. Embarak O (2022) An adaptive paradigm for smart education systems in smart cities using the Internet of Behaviour (IoB) and explainable artificial intelligence (XAI). In: 8th international conference on information technology trends: industry 4.0: technology trends and solutions, ITT 2022, pp 74–79

    Google Scholar 

  23. Stary C (2020) The Internet-of-Behavior as organizational transformation space with choreographic intelligence. Communications in computer and information science, vol 1278

    Google Scholar 

  24. Damaševičius R (2009) Ontology of domain analysis concepts in software system design domain. In: Information systems development: towards a service provision society, pp 319–327

    Google Scholar 

  25. Moghaddam MT, Muccini H, Dugdale J, Kjagaard MB (2022) Designing Internet of Behaviors systems. In: IEEE 19th international conference on software architecture, ICSA 2022, pp 124–134

    Google Scholar 

  26. Pal S, Mukhopadhyay S, Suryadevara N (2021) Development and progress in sensors and technologies for human emotion recognition. Sensors 21(16)

    Google Scholar 

  27. Kaklauskas A, Abraham A, Ubarte I, Kliukas R, Luksaite V, Binkyte-Veliene A, Vetloviene I, Kaklauskiene L (2022) A review of AI cloud and edge sensors, methods, and applications for the recognition of emotional, affective and physiological states. Sensors 22(20):7824

    Article  Google Scholar 

  28. Barati M (2020) A formal technique for composing cloud services. Inform Technol Control 49(1):5–27

    Article  Google Scholar 

  29. Patel S, Doshi N (2022) Internet of Behavior in cybersecurity: opportunities and challenges. Lecture notes in electrical engineering, vol 936

    Google Scholar 

  30. Elayan H, Aloqaily M, Karray F, Guizani M (2022) Internet of Behavior (IoB) and explainable AI systems for influencing IoT behavior. IEEE Netw 1–8

    Google Scholar 

  31. Ngerem E, Misra S, Oluranti J, Castillo-Beltran H, Ahuja R, Damasevicius R (2021) A home automation system based on bluetooth technology using an android smartphone. Lecture notes in electrical engineering, vol 694

    Google Scholar 

  32. Karthick GS, Pankajavalli PB (2020) A review on human healthcare Internet of Things: a technical perspective. SN Comput Sci 1(4)

    Google Scholar 

  33. Rehman A, Saba T, Khan MZ, Damaševičus R, Bahaj SA (2022) Internet-of-Things-based suspicious activity recognition using multimodalities of computer vision for smart city security. Secur Commun Netw 2022. Article ID 8383461. https://doi.org/10.1155/2022/8383461

  34. Javaid M, Haleem A, Singh RP, Khan S, Suman R (2022) An extensive study on Internet of Behavior (IoB) enabled healthcare-systems: features, facilitators, and challenges. BenchCouncil Trans Benchmarks Stand Eval 2(4):100085

    Article  Google Scholar 

  35. Srivastava J, Routray S, Ahmad S, Waris MM (2022) Internet of Medical Things (IoMT)-based smart healthcare system: trends and progress. Comput Intell Neurosci 1–17:2022

    Google Scholar 

  36. Wagan SA, Koo J, Siddiqui IF, Attique M, Shin DR, Qureshi NMF (2022) Internet of Medical Things and trending converged technologies: a comprehensive review on real-time applications. J King Saud Univ—Comput Inform Sci 34(10):9228–9251

    Google Scholar 

  37. Gutierrez LJ, Rabbani K, Ajayi OJ, Gebresilassie SK, Rafferty J, Castro LA, Banos O (2021) Internet of Things for mental health: open issues in data acquisition, self-organization, service level agreement, and identity management. Int J Environ Res Pub Health 18(3):1327

    Article  Google Scholar 

  38. Mahmoodian M, Shahrivar F, Setunge S, Mazaheri S (2022) Development of digital twin for intelligent maintenance of civil infrastructure. Sustainability 14(14):8664

    Article  Google Scholar 

  39. Damadam S, Zourbakhsh M, Javidan R, Faroughi A (2022) An intelligent IoT based traffic light management system: deep reinforcement learning. Smart Cities 5(4):1293–1311

    Article  Google Scholar 

  40. Kummitha RKR, Crutzen N (2019) Smart cities and the citizen-driven Internet of Things: a qualitative inquiry into an emerging smart city. Technol Forecast Soc Change 140:44–53

    Article  Google Scholar 

  41. Mu H, Sun R, Yuan G, Wang Y (2021) Abnormal human behavior detection in videos: a review. Inform Technol Control 50(3):522–545

    Article  Google Scholar 

  42. Dianyou Yu, He Z (2022) Digital twin-driven intelligence disaster prevention and mitigation for infrastructure: advances, challenges, and opportunities. Nat Haz 112(1):1–36

    Article  Google Scholar 

  43. Pantelic J, Nazarian N, Miller C, Meggers F, Lee JKW, Licina D (2022) Transformational IoT sensing for air pollution and thermal exposures. Front Built Environ 8. https://doi.org/10.3389/fbuil.2022.971523

  44. Wogu IAP, Misra S, Assibong PA, Olu-Owolabi EF, Maskeliūnas R, Damasevicius R (2019) Artificial intelligence, smart classrooms and online education in the 21st century: implications for human development. J Cases Inform Technol 21(3):66–79

    Google Scholar 

  45. Congiu L, Moscati I (2021) A review of nudges: definitions, justifications, effectiveness. J Econ Surv 36(1):188–213

    Article  Google Scholar 

  46. de Ridder D, Kroese F, van Gestel L (2021) Nudgeability: mapping conditions of susceptibility to nudge influence. Perspect Psychol Sci 17(2):346–359

    Article  Google Scholar 

  47. Mariani S, Picone M, Ricci A (2022) About digital twins, agents, and multiagent systems: a cross-fertilisation journey. LNAI of Lecture notes in computer science, vol 13441

    Google Scholar 

  48. Sharma V, You I, Andersson K, Palmieri F, Rehmani MH, Lim J (2020) Security, privacy and trust for smart Mobile-Internet of Things (M-IoT): a survey. IEEE Access 8:167123–167163

    Article  Google Scholar 

  49. Zhang J, Tao D (2021) Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things. IEEE Internet Things J 8(10):7789–7817

    Article  Google Scholar 

  50. El-Haddadeh R, Weerakkody V, Osmani M, Thakker D, Kapoor KK (2019) Examining citizens’ perceived value of Internet of Things technologies in facilitating public sector services engagement. Govern Inform Quar 36(2):310–320

    Article  Google Scholar 

  51. Quentin C, Bellmunt J, Lespinet-Najib V, Mokhtari M (2018) Human centered design conception applied to the Internet of Things: contribution and interest. In: Lecture notes in computer science, pp 11–22

    Google Scholar 

  52. Amin F, Abbasi R, Mateen A, Ali Abid M, Khan S (2022) A step toward next-generation advancements in the Internet of Things technologies. Sensors 22(20)

    Google Scholar 

  53. Elayan H, Aloqaily M, Karray F, Guizani M (2021) Internet of Behavior (IoB) and explainable AI systems for influencing IoT behavior

    Google Scholar 

  54. Salis A (2021) Towards the Internet of Behaviors in smart cities through a fog-to-cloud approach. HighTech Innov J 2(4):273–284

    Article  Google Scholar 

  55. Laroui M, Nour B, Moungla H, Cherif MA, Afifi H, Guizani M (2021) Edge and fog computing for IoT: a survey on current research activities & future directions. Comput Commun 180:210–231

    Article  Google Scholar 

  56. Passos J, Ivan Lopes S, Clemente FM, Moreira PM, Rico-González M, Bezerra P, Rodrigues LP (2021) Wearables and Internet of Things (IoT) technologies for fitness assessment: a systematic review. Sensors 21(16):5418

    Google Scholar 

  57. Chanson M, Bogner A, Bilgeri D, Fleisch E, Wortmann F (2019) Blockchain for the IoT: privacy-preserving protection of sensor data. J Assoc Inform Syst 20(9):1271–1307

    Google Scholar 

  58. Uddin MA, Stranieri A, Gondal I, Balasubramanian V (2021) A survey on the adoption of blockchain in IoT: challenges and solutions. Blockchain: Res Appl 2(2). https://doi.org/10.1016/j.bcra.2021.100006

  59. Dwivedi YK, Hughes L, Baabdullah AM et al (2022) Metaverse beyond the hype: multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. Int J Inform Manag 66:102542

    Article  Google Scholar 

  60. Chin J, Callaghan V, Allouch SB (2019) The Internet-of-Things: reflections on the past, present and future from a user-centered and smart environment perspective. J Amb Intell Smart Environ 11(1):45–69

    Google Scholar 

  61. Bellini P, Nesi P, Pantaleo G (2022) IoT-enabled smart cities: a review of concepts, frameworks and key technologies. Appl Sci 12(3):1607

    Article  Google Scholar 

  62. Yaacoub, JA Salman O, Noura HN, Kaaniche N, Chehab A, Malli M (2020) Cyber-physical systems security: limitations, issues and future trends. Microprocess Microsyst 77. https://doi.org/10.1016/j.micpro.2020.103201

  63. Malhotra P, Singh Y, Anand P, Bangotra DK, Singh PK, Hong W (2021) Internet of Things: evolution, concerns and security challenges. Sensors 21(5):1–35

    Article  Google Scholar 

  64. Varona D, Suárez JL (2022) Discrimination, bias, fairness, and trustworthy AI. Appl Sci 12(12):5826

    Google Scholar 

  65. Sun J, Gan W, Chao H-C, Yu PS, Ding W (2022) Internet of Behaviors: a survey. https://doi.org/10.48550/arXiv.2211.15588

  66. Baldini G, Botterman M, Neisse R, Tallacchini M (2018) Ethical design in the Internet of Things. Sci Eng Ethics 24(3):905–925

    Article  Google Scholar 

  67. Brous P, Janssen M, Herder P (2020) The dual effects of the Internet of Things (IoT): a systematic review of the benefits and risks of IoT adoption by organizations. Int J Inform Manag 51:101952

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Robertas Damaševičius .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Damaševičius, R., Maskeliūnas, R., Misra, S. (2023). Supporting and Shaping Human Decisions Through Internet of Behaviors (IoB): Perspectives and Implications. In: Adadi, A., Motahhir, S. (eds) Machine Intelligence for Smart Applications. Studies in Computational Intelligence, vol 1105. Springer, Cham. https://doi.org/10.1007/978-3-031-37454-8_6

Download citation

Publish with us

Policies and ethics