Abstract
Smart buildings are increasingly becoming more common and changing the way we interact with our home, workplace, and cities. Consequently, it is important to study how human factors play a role in smart building-based environments. This research focuses on the privacy and productivity of human factors, and presents the results of two complementary evaluations: a survey in which people’s privacy concerns were analyzed and an assessment that quantifies if smart building functionalities impacts people’s productivity.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Harper, S., Mehrnezhad, M., Mace, J.C.: User privacy concerns and preferences in smart buildings. In: Groß, T., Viganò, L. (eds.) STAST 2020. LNCS, vol. 12812, pp. 85–106. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-79318-0_5
López, G., Guerrero, L.A.: A conceptual framework for smart device-based notifications. J. Ambient Intell. Human. Comput. (2020)
López, G., Marin, G., Calderon, M.: Human aspects of ubiquitous computing: a study addressing willingness to use it and privacy issues. J. Ambient Intell. Human. Comput. 8(4), 497–511 (2017)
MarketsandMarkets: Smart buildings market by component, building type, and region - global forecast to 2026 (2022). https://www.marketsandmarkets.com/Market-Reports/smart-building-market-1169.html, Accessed 17 Apr 2022
Meyer, A.N., Zimmermann, T., Fritz, T.: Characterizing software developers by perceptions of productivity. In: 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). IEEE (2017). https://doi.org/10.1109/esem.2017.17
Naeini, P.E., et al.: Privacy expectations and preferences in an IoT world. In: Thirteenth Symposium on Usable Privacy and Security (SOUPS 2017), pp. 399–412. USENIX Association, Santa Clara (2017)
Papagiannidis, S., Marikyan, D.: Smart offices: a productivity and well-being perspective. Int. J. Inf. Manag. 51, 102027 (2020)
Preibusch, S.: Guide to measuring privacy concern: review of survey and observational instruments. Int. J. Human-Comput. Stud. 71(12), 1133–1143 (2013). https://doi.org/10.1016/j.ijhcs.2013.09.002
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Brenes, E. et al. (2023). User - Smart Building Interactions: An Analysis of Privacy and Productivity Human Factors. In: Bravo, J., Ochoa, S., Favela, J. (eds) Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). UCAmI 2022. Lecture Notes in Networks and Systems, vol 594. Springer, Cham. https://doi.org/10.1007/978-3-031-21333-5_80
Download citation
DOI: https://doi.org/10.1007/978-3-031-21333-5_80
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-21332-8
Online ISBN: 978-3-031-21333-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)