Abstract
Perceived privacy plays a crucial role in the acceptance of technologies that rely on sensitive data. To mitigate concerns and build trust, privacy must not only be protected, but this protection should also be successfully communicated. Residential energy consumption data are at the center of applications that facilitate improved energy management and support a more sustainable future, but such data are privacy-sensitive since they have the potential to reveal a great number of details about the daily life of users. Our study contributes to an understanding of how to communicate energy data privacy via user interfaces by looking into the relevancy and accessibility priorities of potential privacy requirements in home energy monitoring, management, and production applications. All investigated requirements showed themselves to be of relevance to users, with control aspects (access, transfer, and deletion of data) being both perceived as most important and receiving the highest accessibility priority ratings, and control of data storage joining them as top access priority requirement. Our results indicate that placing the settings and information emphasized in our results prominently in the user interface, going through extra effort to ensure easy comprehensibility, and communicating them proactively, is likely to go a long way in successfully communicating privacy. Investigation of accessibility priority differences in relation to data storage location provided less clear answers but suggests a higher importance of access to general information on data collection if data are stored centrally and of the ability to view data if stored decentrally.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Hong, J.: The privacy landscape of pervasive computing. IEEE Perv. Comput. 16, 40–48 (2017)
Chow, R.: The last mile for IoT privacy. IEEE Secur. Priv. 15, 73–76 (2017)
Cuijpers, C., Koops, B.-J.: Smart metering and privacy in Europe: lessons from the Dutch case. In: Social Science Research Network, Rochester, NY (2013)
Ferrag, M.A., Maglaras, L.A., Janicke, H., Jiang, J., Shu, L.: A systematic review of data protection and privacy preservation schemes for smart grid communications. Sustain. Cities Soc. 38, 806–835 (2018)
Uludag, S., Zeadally, S., Badra, M.: Techniques, taxonomy, and challenges of privacy protection in the smart grid. In: Zeadally, S., Badra, M. (eds.) Privacy in a Digital, Networked World. CCN, pp. 343–390. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-08470-1_15
Jackson, C.B., Wang, Y.: Addressing the privacy paradox through personalized privacy notifications. In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 2, p. 68 (2018)
Acquisti, A., et al.: Nudges for privacy and security: understanding and assisting users’ choices online. ACM Comput. Surv. (CSUR) 50, 44 (2017)
Patrick, A.S., Kenny, S.: From privacy legislation to interface design: implementing information privacy in human-computer interactions. In: Dingledine, R. (ed.) PET 2003. LNCS, vol. 2760, pp. 107–124. Springer, Heidelberg (2003). https://doi.org/10.1007/978-3-540-40956-4_8
Raschke, P., Küpper, A., Drozd, O., Kirrane, S.: Designing a GDPR-compliant and usable privacy dashboard. In: Hansen, M., Kosta, E., Nai-Fovino, I., Fischer-Hübner, S. (eds.) Privacy and Identity 2017. IFIP AICT, vol. 526, pp. 221–236. Springer, Cham. (2017). https://doi.org/10.1007/978-3-319-92925-5_14
Kelley, P.G., Bresee, J., Cranor, L.F., Reeder, R.W.: A nutrition label for privacy. In: Proceedings of the 5th Symposium on Usable Privacy and Security, p. 4. ACM (2009)
Fox, G., Tonge, C., Lynn, T., Mooney, J.: Communicating compliance: developing a GDPR privacy label (2018)
Tuballa, M.L., Abundo, M.L.: A review of the development of smart grid technologies. Renew. Sustain. Energy Rev. 59, 710–725 (2016). https://doi.org/10.1016/j.rser.2016.01.011
McKenna, E., Richardson, I., Thomson, M.: Smart meter data: balancing consumer privacy concerns with legitimate applications. Energy Policy 41, 807–814 (2012). https://doi.org/10.1016/j.enpol.2011.11.049
Dütschke, E., Paetz, A.-G.: Dynamic electricity pricing—which programs do consumers prefer? Energy Policy 59, 226–234 (2013). https://doi.org/10.1016/j.enpol.2013.03.025
Karlin, B., Zinger, J.F., Ford, R.: The effects of feedback on energy conservation: a meta-analysis. Psychol. Bull. 141, 1205–1227 (2015). https://doi.org/10.1037/a0039650
Paetz, A.-G., Dütschke, E., Fichtner, W.: Smart homes as a means to sustainable energy consumption: a study of consumer perceptions. J. Consum. Policy 35, 23–41 (2012)
Zafar, R., Mahmood, A., Razzaq, S., Ali, W., Naeem, U., Shehzad, K.: Prosumer based energy management and sharing in smart grid. Renew. Sustain. Energy Rev. 82, 1675–1684 (2018). https://doi.org/10.1016/j.rser.2017.07.018
Cho, H.S., Yamazaki, T., Hahn, M.: AERO: extraction of user’s activities from electric power consumption data. IEEE Trans. Consum. Electron. 56, 2011–2018 (2010). https://doi.org/10.1109/TCE.2010.5606359
McDaniel, P., McLaughlin, S.: Security and privacy challenges in the smart grid. IEEE Secur. Privacy 7, 75–77 (2009). https://doi.org/10.1109/MSP.2009.76
Cárdenas, A.A., Safavi-Naini, R.: Security and privacy in the smart grid. In: Handbook on Securing Cyber-Physical Critical Infrastructure, pp. 637–654. Elsevier (2012)
Molina-Markham, A., Shenoy, P., Fu, K., Cecchet, E., Irwin, D.: Private memoirs of a smart meter. In: Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building, pp. 61–66. ACM, New York (2010). https://doi.org/10.1145/1878431.1878446.
National Institute of Standards and Technology (NIST), U.S. Department of Commerce: Guidelines for Smart Grid Cyber Security, vol. 2, Privacy and the Smart Grid (NISTIR 7628r1). National Institute of Standard and Technology (NIST), U.S. Department of Commerce (2014)
O2: Effectively engaging consumers to ensure smart meter success (2013)
Seshadri, P., Barton, C., Manfred, K.: Capturing the value of smart meters (2010).www.bcgperspectives.com
Valocchi, M., Juliano, J.: Knowledge is power: driving smarter energy usage through consumer education. IBM Inst. Bus. (2012)
Krishnamurti, T., et al.: Preparing for smart grid technologies: a behavioral decision research approach to understanding consumer expectations about smart meters. Energy Policy 41, 790–797 (2012). https://doi.org/10.1016/j.enpol.2011.11.047
Balta-Ozkan, N., Davidson, R., Bicket, M., Whitmarsh, L.: Social barriers to the adoption of smart homes. Energy Policy 63, 363–374 (2013)
Wimberly, J.: Separating smart grid from smart meters? Consumer perceptions and expectations of smart grid. EcoAlign (2010)
Lundin, B.V.: Breaking down consumer privacy barriers. http://www.smartgridnews.com/story/breaking-down-consumer-privacy-barriers/2015-03-10. Accessed 14 Mar 2015
Döbelt, S., Jung, M., Busch, M., Tscheligi, M.: Consumers’ privacy concerns and implications for a privacy preserving smart grid architecture—results of an Austrian study. Energy Res. Soc. Sci. 9, 137–145 (2015). https://doi.org/10.1016/j.erss.2015.08.022
Consumer Futures, R.: Smart and clear. Customer attitudes to communicating rights and choices on energy data privacy and access (2014)
Diamond, L., Schrammel, J., Fröhlich, P., Regal, G., Tscheligi, M.: Privacy in the smart grid: end-user concerns and requirements. In: Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, pp. 189–196 (2018)
Smith, H.J., Milberg, S.J., Burke, S.J.: Information privacy: measuring individuals’ concerns about organizational practices. MIS Q. 20, 167 (1996). https://doi.org/10.2307/249477
Karrer, K., Glaser, C., Clemens, C., Bruder, C.: Technikaffinität erfassen–der Fragebogen TA-EG. Der Mensch im Mittelpunkt technischer Systeme. 8, 196–201 (2009)
Acknowledgements
The work presented in this paper has received funding from the Austrian Research Promotion Agency FFG under grant agreement n° 848811 (RASSA).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 IFIP International Federation for Information Processing
About this paper
Cite this paper
Diamond, L., Fröhlich, P. (2021). Communicating Privacy: User Priorities for Privacy Requirements in Home Energy Applications. In: Ardito, C., et al. Human-Computer Interaction – INTERACT 2021. INTERACT 2021. Lecture Notes in Computer Science(), vol 12935. Springer, Cham. https://doi.org/10.1007/978-3-030-85610-6_38
Download citation
DOI: https://doi.org/10.1007/978-3-030-85610-6_38
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-85609-0
Online ISBN: 978-3-030-85610-6
eBook Packages: Computer ScienceComputer Science (R0)