Influence of Internet of things on human psychology (internet of thoughts) for education, healthcare, and businesses

Pascal Muam Mah; Iwona Skalna; Eric Munyeshuri; John Akoko

doi:10.4108/eetmca.v7i2.2627

Authors

Pascal Muam Mah AGH University of Science and Technology
Iwona Skalna AGH University of Science and Technology
Eric Munyeshuri Silesian University of Technology
John Akoko Silesian University of Technology

DOI:

https://doi.org/10.4108/eetmca.v7i2.2627

Keywords:

Internet of things, Human psychology “internet of thoughts”, artificial intelligence, machine learning, big data, cloud computing, natural language processing

Abstract

INTRODUCTION: The study investigated how technological innovations and Embedded Systems, processes, and Communication tools influence human psychology. The IoTs have succeeded to connect humans with things, and it is now preoccupied with understanding how humans react to these things by influencing our actions, reactions, and behavior.

OBJECTIVES: To identify items that IoTs use to influence human psychology in education, healthcare, and business and to find out how IoTs utilize AI, ML, Cloud computing, NLP, ICT tools, and big data technology to overpower human psychology.

METHODS: The methods “Behavior-oriented drive and influential function method” and the qualitative-quantitative method were used. The qualitative-quantitative method makes use of 3 research questions while behavior-oriented drive and influential function focus on statistical data.

RESULTS: The result indicates the least score of 12 out of 15 grades for all the measurements on a behavior-oriented drive and influential function and above 90% positive respondents for the qualitative-quantitative method.

CONCLUSION: The study concluded that the high dependency of humans on IoTs services is the reason for the IoTs influence on our thoughts, actions, and behavior.

Metrics

Metrics Loading ...

References

Casale, S., Musicò, A., & Spada, M. M. (2021). A systematic review of metacognitions in Internet Gaming Disorder and problematic Internet, smartphone and social networking sites use. Clinical Psychology & Psychotherapy.

Malik, P. K., Sharma, R., Singh, R., Gehlot, A., Satapathy, S. C., Alnumay, W. S., ... & Nayak, J. (2021). Industrial Internet of Things and its applications in industry 4.0: State of the art. Computer Communications, 166, 125-139.

Jasim, N. A., TH, H., & Rikabi, S. A. (2021). Design and Implementation of Smart City Applications Based on the Internet of Things. International Journal of Interactive Mobile Technologies, 15(13).

Sadeeq, M. A., & Zeebaree, S. (2021). Energy management for internet of things via distributed systems. Journal of Applied Science and Technology Trends, 2(02), 59-71.

Sinha, B. B., & Dhanalakshmi, R. (2022). Recent advancements and challenges of Internet of Things in smart agriculture: A survey. Future Generation Computer Systems, 126, 169-184.

Kishor, A., & Chakraborty, C. (2021). Artificial intelligence and internet of things based healthcare 4.0 monitoring system. Wireless Personal Communications, 1-17.

Aghdam, Z. N., Rahmani, A. M., & Hosseinzadeh, M. (2021). The role of the Internet of Things in healthcare: Future trends and challenges. Computer methods and programs in biomedicine, 199, 105903.

Tun, S. Y. Y., Madanian, S., & Mirza, F. (2021). Internet of things (IoT) applications for elderly care: a reflective review. Aging clinical and experimental research, 33(4), 855-867.

Boyd, R. L., & Schwartz, H. A. (2021). Natural language analysis and the psychology of verbal behavior: The past, present, and future states of the field. Journal of Language and Social Psychology, 40(1), 21-41.

Berger, J. A., & Packard, G. M. (2021). Wisdom from Words: Using Natural Language Processing to Study Culture (and Psychology More Broadly). Available at SSRN 3771631.

Wu, L., Dodoo, N. A., Wen, T. J., & Ke, L. (2021). Understanding Twitter conversations about artificial intelligence in advertising based on natural language processing. International Journal of Advertising, 1-18.

Chang, T., DeJonckheere, M., Vydiswaran, V. V., Li, J., Buis, L. R., & Guetterman, T. C. (2021). Accelerating Mixed Methods Research With Natural Language Processing of Big Text Data. Journal of Mixed Methods Research, 15586898211021196.

Campos, T. P. S., Bezerra, C. W. A. G., & da Silva, S. P. (2021). Artificial Intelligence and Human Psychology: Present Reality and Future Possibilities. Asian Journal of Sociological Research, 29-34.

Zhang, X., Wang, R., Sharma, A., & Gopal, G. (2021). Artificial intelligence in cognitive psychology—Influence of literature based on artificial intelligence on children's mental disorders. Aggression and Violent Behavior, 101590.

Mogha, M., Sharma, R., Tanwar, S., Rana, A., & Jain, V. (2021, September). Artificial Intelligence Predictability of Human Emotion in Psychology. In 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO) (pp. 1-5). IEEE.

Jia, S., & Zhang, X. (2021, April). Teaching Mode of Psychology and Pedagogy in Colleges and Universities Based on Artificial Intelligence Technology. In Journal of Physics: Conference Series (Vol. 1852, No. 3, p. 032033). IOP Publishing.

Dwyer, D. B., Falkai, P., & Koutsouleris, N. (2018). Machine learning approaches for clinical psychology and psychiatry. Annual review of clinical psychology, 14, 91-118.

Lindsay, G. W. (2020). Attention in psychology, neuroscience, and machine learning. Frontiers in computational neuroscience, 14, 29.

Alharthi, R., Guthier, B., & El Saddik, A. (2018). Recognizing human needs during critical events using machine learning powered psychology-based framework. IEEE Access, 6, 58737-58753.

Xiang, L., Cai, M., Ren, C., & Ng, E. (2021). Modeling pedestrian emotion in high-density cities using visual exposure and machine learning: Tracking real-time physiology and psychology in Hong Kong. Building and Environment, 205, 108273.

Wu, W. (2022). Analysis of Configurable Human Resource Management System Based on Cloud Computing. In International Conference on Cognitive based Information Processing and Applications (CIPA 2021) (pp. 512-517). Springer, Singapore.

Guryanova, A., Khafiyatullina, E., Petinova, M., Frolov, V., & Makhovikov, A. (2019, April). Technological prerequisites and humanitarian consequences of ubiquitous computing and networking. In Institute of Scientific Communications Conference (pp. 1040-1047). Springer, Cham.

Abro, A., Khuhro, S. A., Pathan, E., Koondhar, I. A., Bhutto, Z. A., & Panhwar, M. A. (2021). MCC: Integration Mobile Cloud Computing of Big Data for Health-Care Analytics Enhance. Psychology and Education Journal, 58(2), 3398-3405.

Ali, H. (2020). Key Factors Increasing Trust in Cloud Computing Applications in the Kingdom of Bahrain. International Journal of Computing and Digital Systems, 9(2), 309-317.

Kusal, S., Patil, S., Kotecha, K., Aluvalu, R., & Varadarajan, V. (2021). AI Based Emotion Detection for Textual Big Data: Techniques and Contribution. Big Data and Cognitive Computing, 5(3), 43.

Camarena, L., & Fusi, F. (2022). Always Connected: Technology Use Increases Technostress Among Public Managers. The American Review of Public Administration, 52(2), 154-168.

Agrawal, M. S. (2022). Computer and ICT in Education. Blue Rose Publishers.

Antunes, T. P. C., de Mello Monteiro, C. B., Crocetta, T. B., de Lima Antão, J. Y. F., Leitão, F. N. C., da Rocha, J. B. F., ... & de Abreu, L. C. (2022). Digital games in the computer classes to reduce loneliness of individuals during aging. Current Psychology, 1-9.

Bansal, M., Sirpal, V., & Choudhary, M. K. (2022). Advancing e-Government using Internet of Things. In Mobile Computing and Sustainable Informatics (pp. 123-137). Springer, Singapore.

Anand, S., & Routray, S. K. (2017, March). Issues and challenges in healthcare narrowband IoT. In 2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) (pp. 486-489). IEEE.

Ahad, A., Tahir, M., Aman Sheikh, M., Ahmed, K. I., Mughees, A., & Numani, A. (2020). Technologies trend towards 5G network for smart health-care using IoT: A review. Sensors, 20(14), 4047

Zou, N., Liang, S., & He, D. (2020). Issues and challenges of user and data interaction in healthcare-related IoT: a systematic review. Library Hi Tech.

Shao, C., Yang, Y., Juneja, S., & GSeetharam, T. (2022). IoT data visualization for business intelligence in corporate finance. Information Processing & Management, 59(1), 102736.

Paiola, M., Agostini, L., Grandinetti, R., & Nosella, A. (2022). The process of business model innovation driven by IoT: Exploring the case of incumbent SMEs. Industrial Marketing Management, 103, 30-46.

Garg, H., Gupta, S., & Garg, B. (2021). Smart cities and the Internet of Things. Big Data Analytics for Internet of Things, 187-195.

Guo, J., & Nazir, S. (2021). Internet of things based intelligent techniques in workable computing: an overview. Scientific Programming, 2021.

Javed, F., Afzal, M. K., Sharif, M., & Kim, B. S. (2018). Internet of Things (IoT) operating systems support, networking technologies, applications, and challenges: A comparative review. IEEE Communications Surveys & Tutorials, 20(3), 2062-2100.

Abid, M. A., Afaqui, N., Khan, M. A., Akhtar, M. W., Malik, A. W., Munir, A., ... & Shabir, B. (2022). Evolution towards smart and software-defined internet of things. AI, 3(1), 100-123.

Abbasy, M. B., & Quesada, E. V. (2017). Predictable influence of IoT (Internet of Things) in the higher education. International Journal of Information and Education Technology, 7(12), 914-920.

Banica, L., Burtescu, E., & Enescu, F. (2017). The impact of internet-of-things in higher education. Scientific Bulletin-Economic Sciences, 16(1), 53-59.

Bajracharya, B., Blackford, C., & Chelladurai, J. (2018). Prospects of internet of things in education system. Prospects, 6(1).

Salih, K. O. M., Rashid, T. A., Radovanovic, D., & Bacanin, N. (2022). A comprehensive survey on the Internet of Things with the industrial marketplace. Sensors, 22(3), 730.

Elliott, A. (2017). Psychoanalytic theory: An introduction. Bloomsbury Publishing.

Pandit, G. L. (2022). Freudian Frontiers of Psychoanalytic Theory and Therapy: A Case of Improvement of Scientific Knowledge?. Journal of Constructivist Psychology, 35(2), 537-563.

Tummala-Narra, P. (2022). Can We Decolonize Psychoanalytic Theory and Practice?. Psychoanalytic Dialogues, 32(3), 217-234.

Taivalsaari, A., & Mikkonen, T. (2017). A roadmap to the programmable world: software challenges in the IoT era. IEEE software, 34(1), 72-80.

French, A. M., & Shim, J. P. (2016). The digital revolution: Internet of things, 5G, and beyond. Communications of the Association for Information Systems, 38(1), 40.

Bhayani, M., Patel, M., & Bhatt, C. (2016). Internet of Things (IoT): In a way of smart world. In Proceedings of the international congress on information and communication technology (pp. 343-350). Springer, Singapore.

Scopigno, R., Cignoni, P., Pietroni, N., Callieri, M., & Dellepiane, M. (2014). Digital Fabrication Technologies for Cultural Heritage (STAR). GCH, 75-8.