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Intelligent buildings with IoT systems using ML and HITL for indoor environmental control: an investigation of occupants’ adoption intent

Author

Listed:
  • Arunvel Thangamani

    (Indian Institute of Technology Madras)

  • L. S. Ganesh

    (Indian Institute of Technology Madras)

  • Anand Tanikella

    (Saint Gobain Research)

  • Meher Prasad Anumolu

    (Indian Institute of Technology Madras)

Abstract

Office spaces in Intelligent Buildings are equipped with Building Management Systems (BMSs) that use Internet of Things (IoT) with Machine Learning (ML) for saving energy while improving comfort for occupants. The Human-In-The-Loop (HITL) approach in such IoT-based systems has made it possible to empower occupants to set local zone comfort, and use personalized controls, such as blasts of cold or hot air, and lighting settings. However, prior literature shows that occupants engaging with such IoT-based indoor environmental control systems are uncertain and might pose challenges in commercial buildings. This paper discusses an investigation of factors that influence the intent of occupants to adopt such IoT systems that leverage ML and HITL for indoor environmental control. Customizing and extending the Technology Acceptance Model, this research incorporates additional constructs, namely trust, invasiveness, and energy savings propensity, to examine occupants’ intention to accept and engage with IoT-based BMSs quantitatively using multiple regression. The results suggest that perceived benefits, namely comfort, productivity and wellbeing, along with the perceived ease-of-use aspects, namely ease of zone movement, and convenience to access BMS, significantly influence adoption intent. The perceived risks, namely security, privacy and intrusiveness, are not statistically significant. Further, propensity to save energy negatively influences the relationship between perceived benefits and adoption intent. Based on the results of this study, IoT firms can identify potential early adopters of such IoT systems and services in office spaces, carve out value proposition elements, and take strategic decisions.

Suggested Citation

  • Arunvel Thangamani & L. S. Ganesh & Anand Tanikella & Meher Prasad Anumolu, 2022. "Intelligent buildings with IoT systems using ML and HITL for indoor environmental control: an investigation of occupants’ adoption intent," SN Business & Economics, Springer, vol. 2(3), pages 1-38, March.
    • Handle: RePEc:spr:snbeco:v:2:y:2022:i:3:d:10.1007_s43546-021-00191-1
    DOI: 10.1007/s43546-021-00191-1
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    References listed on IDEAS

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    1. Rashiqa Abdul Salam & Khuram Pervez Amber & Naeem Iqbal Ratyal & Mehboob Alam & Naveed Akram & Carlos Quiterio Gómez Muñoz & Fausto Pedro García Márquez, 2020. "An Overview on Energy and Development of Energy Integration in Major South Asian Countries: The Building Sector," Energies, MDPI, vol. 13(21), pages 1-37, November.
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    4. Mital, Monika & Chang, Victor & Choudhary, Praveen & Papa, Armando & Pani, Ashis K., 2018. "Adoption of Internet of Things in India: A test of competing models using a structured equation modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 339-346.
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