Skip to main content
SpringerLink
Log in

Measuring the Actual Office Workspace Utilization in a Desk Sharing Environment Based on IoT Sensors

  • Conference paper
  • First Online:
Design Science Research for a New Society: Society 5.0 (DESRIST 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13873))

Abstract

Businesses that follow the trend of flexible work arrangements with home offices and hybrid work models are increasingly utilizing desk sharing to allocate available desks in the office efficiently. In this work, we investigate the utilization of flexible work arrangements, specifically the implementation of desk sharing in hybrid work models. To optimize the occupancy rate of shared desks and simultaneously meet demand and save costs, it is crucial to have real-time knowledge of their availability which can be obtained by recording occupancy over time. We utilize the Design Science Research (DSR) methodology to develop a prototype solution for real-time monitoring of shared desks occupancy in hybrid work models. The proposed prototype is a low-cost solution utilizing Internet of Things (IoT) technology consisting of a motion sensor and accelerometer that collect occupancy data and transmit it via Long Range Wide Area Network (LoRaWAN). Signal processing utilizing cloud computing is employed to enhance the quality and accuracy of the data, which is subsequently made available through a web dashboard. The prototype’s effectiveness is evaluated through a small-scale pilot deployment in a real-world environment over a two-week period, with reference values obtained during periods of non-use serving as a benchmark for the evaluation.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54, 2787–2805 (2010)

    Article  MATH  Google Scholar 

  2. Perwej, Y., Haq, K., Parwej, F., Mumdouh, M.: The internet of things (IoT) and its application domains. Int. J. Comput. Appl. 182, 36–49 (2019). https://www.ijcaonline.org/archives/volume182/number49/perwej-2019-ijca-918763.pdf

  3. Ibarra-Esquer, J., González-Navarro, F., Flores-Rios, B., Burtseva, L., Astorga-Vargas, M.: Tracking the evolution of the internet of things concept across different application domains. Sensors 17, 1379 (2017). https://www.mdpi.com/1424-8220/17/6/1379

  4. Gardašević, G., et al.: The IoT architectural framework, design issues and application domains. Wirel. Pers. Commun. 92, 127–148 (2017). https://doi.org/10.1007/s11277-016-3842-3

    Article  Google Scholar 

  5. Peffers, K., Tuunanen, T., Rothenberger, M., Chatterjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24, 45–77 (2007). https://www.tandfonline.com/doi/full/10.2753/MIS0742-1222240302

  6. Baiyere, A., et al.: Internet of things (IoT) - a research agenda for information systems. Commun. Assoc. Inf. Syst. 47, 21 (2020)

    Google Scholar 

  7. Whitmore, A., Agarwal, A., Da Xu, L.: The internet of things-a survey of topics and trends. Inf. Syst. Front. 17, 261–274 (2015). https://doi.org/10.1007/s10796-014-9489-2

  8. C Henshaw, M.: Systems of systems, cyber-physical systems, the internet-of-things...whatever next? Insight 19, 4 (2016)

    Google Scholar 

  9. Ramirez, A., González-Carrasco, I., Jasper, G., Lopez, A., Lopez-Cuadrado, J., García-Crespo, A.: Towards human smart cities: internet of things for sensory impaired individuals. Computing 99, 107–126 (2017). https://doi.org/10.1007/s00607-016-0529-2

    Article  MathSciNet  Google Scholar 

  10. Georgakopoulos, D., Jayaraman, P.: Internet of things: from internet scale sensing to smart services. Computing 98, 1041–1058 (2016). https://doi.org/10.1007/s00607-016-0510-0

    Article  MathSciNet  Google Scholar 

  11. Atzori, L., Iera, A., Morabito, G.: Understanding the Internet of Things: definition, potentials, and societal role of a fast evolving paradigm. Ad Hoc Netw. 56, 122–140 (2017)

    Article  Google Scholar 

  12. Hedderich, J., Sachs, L.: Angewandte Statistik. Springer, Heidelberg (2016)

    Book  MATH  Google Scholar 

  13. Jung, W., Jazizadeh, F.: Human-in-the-loop HVAC operations: a quantitative review on occupancy, comfort, and energy-efficiency dimensions. Appl. Energy 239, 1471–1508 (2019). https://linkinghub.elsevier.com/retrieve/pii/S030626191930073X

  14. Lee, M., Guo, R., Bhalla, A.: Pyroelectric sensors. J. Electroceram. 2, 229–242 (1998)

    Article  Google Scholar 

  15. Lohiya, R., Thakkar, A.: Application domains, evaluation data sets, and research challenges of IoT: a systematic review. IEEE Internet Things J. 8, 8774–8798 (2021). https://ieeexplore.ieee.org/document/9311636/

  16. Blenn, N., Kuipers, F.: LoRaWAN in the Wild: Measurements from The Things Network. arXiv (2017)

    Google Scholar 

  17. Sub-G Module Data Sheet (2018). https://static6.arrow.com/aropdfconversion-/8b033f4fa36fb9e2c8464263592495ee5b-833573-/type_abz.pdf

  18. Pacchi, C.: Sharing economy: makerspaces, co-working spaces, hybrid workplaces, and new social practices. In: Milan, pp. 73–83 (2017)

    Google Scholar 

  19. Poulten, G.: Why trust and autonomy are essential factors when working from home (2020). https://www.rolandberger.com/en/Insights/Publications/The-home-office-becomes-the-new-normal.html

  20. Sheikh Khan, D., Kolarik, J., Anker Hviid, C., Weitzmann, P.: Method for long-term mapping of occupancy patterns in open-plan and single office spaces by using passive-infrared (PIR) sensors mounted below desks. Energy Build. 230, 110534 (2021). https://linkinghub.elsevier.com/retrieve/pii/S0378778820318958

  21. Youden, W.: Index for rating diagnostic tests. Cancer 3, 32–35 (1950)

    Article  Google Scholar 

  22. Yun, J., Song, M.: Detecting direction of movement using pyroelectric infrared sensors. IEEE Sens. J. 14, 1482–1489 (2014). https://ieeexplore.ieee.org/document/6697828/

  23. Kim, J., Candido, C., Thomas, L., De Dear, R.: Desk ownership in the workplace: the effect of non-territorial working on employee workplace satisfaction, perceived productivity and health. Build. Environ. 103, 203–214 (2016). https://www.sciencedirect.com/science/article/pii/S036013231630138X

  24. Mullarkey, M., Hevner, A.: An elaborated action design research process model. Eur. J. Inf. Syst. 28, 6–20 (2019). https://www.tandfonline.com/doi/full/10.1080/0960085X.2018.1451811

  25. Gill, T., Hevner, A.: A fitness-utility model for design science research. ACM Trans. Manag. Inf. Syst. 4, 1–24 (2013). https://dl.acm.org/doi/10.1145/2499962.2499963

  26. Wagner, D., Mathur, A., Boor, B.: Spatial seated occupancy detection in offices with a chair-based temperature sensor array. Build. Environ. 187, 107360 (2021). https://linkinghub.elsevier.com/retrieve/pii/S0360132320307290

  27. Elkhoukhi, H., Bakhouya, M., El Ouadghiri, D., Hanifi, M.: Using stream data processing for real-time occupancy detection in smart buildings. Sensors 22, 2371 (2022). https://www.mdpi.com/1424-8220/22/6/2371

  28. Pan, J., Cho, T., Bardhan, R.: Occupancy level prediction based on a sensor-detected dataset in a co-working space. In: Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, pp. 340–347 (2022). https://dl.acm.org/doi/10.1145/3563357.3566133

  29. Sood, T., Janssen, P., Miller, C.: Spacematch: using environmental preferences to match occupants to suitable activity-based workspaces. Front. Built Environ. 6, 113 (2020). https://www.frontiersin.org/article/10.3389/fbuil.2020.00113/full

  30. Blazevic, M., Riehle, D.: University of things: opportunities and challenges for a smart campus environment based on IoT sensors and business processes. In: Proceedings of the 8th International Conference on Internet of Things, Big Data and Security, pp. 105–114 (2023). https://doi.org/10.5220/0011761900003482. ISBN 978-989-758-643-9, ISSN 2184-4976

  31. Wolters, A., Blazevic, M., Riehle, D.: On-premise Internet of Things (IoT) data storage: comparison of database management systems. In: Proceedings of the 8th International Conference on Internet of Things, Big Data and Security, pp. 140–149 (2023). https://doi.org/10.5220/0011851200003482. ISBN 978-989-758-643-9, ISSN 2184-4976

Download references

Author information

Authors and Affiliations

  1. University of Koblenz, Universitätsstraße 1, 56070, Koblenz, Germany

    Arnold F. Arz von Straussenburg, Mevludin Blazevic & Dennis M. Riehle

Authors
  1. Arnold F. Arz von Straussenburg
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mevludin Blazevic
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dennis M. Riehle
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Arnold F. Arz von Straussenburg .

Editor information

Editors and Affiliations

  1. University of the Western Cape, Cape Town, South Africa

    Aurona Gerber

  2. Georgia State University, Atlanta, GA, USA

    Richard Baskerville

Rights and permissions

Reprints and permissions

Copyright information

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

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Arz von Straussenburg, A.F., Blazevic, M., Riehle, D.M. (2023). Measuring the Actual Office Workspace Utilization in a Desk Sharing Environment Based on IoT Sensors. In: Gerber, A., Baskerville, R. (eds) Design Science Research for a New Society: Society 5.0. DESRIST 2023. Lecture Notes in Computer Science, vol 13873. Springer, Cham. https://doi.org/10.1007/978-3-031-32808-4_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-32808-4_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-32807-7

  • Online ISBN: 978-3-031-32808-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation