The Internet of Things (IoT) and Social Interaction: Influence of Source Attribution and Human Specialization

Authors

  • Siddhartha Vadlamudi Xandr
  • Donyea Lamont Hargrove Jackson State University

DOI:

https://doi.org/10.18034/ei.v9i1.526

Keywords:

IoT, Source Attribution, Specialization Source, Human-IoT interaction

Abstract

The evolvement of IT has open new doors in connecting many devices to the worldwide web that successively produce data around the physical setting using the IoT. However, the system of message turns out to be slightly intricate in human specialization-internet of things communication for the reason that the IoT is a system including diverse objects transferring data This study examines the hypothetical pathway by which the changes in source attribution that is multiple against single and specialization that is multi-functionality against single functionality of IoT devices affect the quality of human- internet of things interaction. The result from the study obtained from 80 participants that took part in the experiment shows that multiple source attribution improves the condition of information basically for the low-involvement people supports further probes the multiple source effects. However, this study recommends improvement of attribution source and human specialization-IoT.

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Author Biographies

  • Siddhartha Vadlamudi, Xandr

    Software Engineer II, Xandr, AT&T Services Inc., New York, US

  • Donyea Lamont Hargrove, Jackson State University

    Retention and Withdrawal Officer, Department of University Student Success, Jackson State University, 1400 JR Lynch st Jackson Ms, United States of America

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Published

2021-04-20

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Section

Peer Reviewed Articles

How to Cite

Vadlamudi, S., & Hargrove, D. L. (2021). The Internet of Things (IoT) and Social Interaction: Influence of Source Attribution and Human Specialization. Engineering International, 9(1), 29-40. https://doi.org/10.18034/ei.v9i1.526

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