mca 22(2): e1

Research Article

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

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  • @ARTICLE{10.4108/eetmca.v7i2.2627,
        author={Pascal Muam Mah and Iwona Skalna and Eric Munyeshuri and John Akoko},
        title={Influence of Internet of things on human psychology (internet of thoughts) for education, healthcare, and businesses},
        journal={EAI Endorsed Transactions on Mobile Communications and Applications},
        volume={7},
        number={2},
        publisher={EAI},
        journal_a={MCA},
        year={2022},
        month={8},
        keywords={Internet of things, Human psychology “internet of thoughts”, artificial intelligence, machine learning, big data, cloud computing, natural language processing},
        doi={10.4108/eetmca.v7i2.2627}
    }
    
  • Pascal Muam Mah
    Iwona Skalna
    Eric Munyeshuri
    John Akoko
    Year: 2022
    Influence of Internet of things on human psychology (internet of thoughts) for education, healthcare, and businesses
    MCA
    EAI
    DOI: 10.4108/eetmca.v7i2.2627
Pascal Muam Mah1,*, Iwona Skalna1, Eric Munyeshuri2, John Akoko2
  • 1: AGH University of Science and Technology
  • 2: Silesian University of Technology
*Contact email: mahpascal01@gmail.com

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.