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User Models as Digital Twins: Using Webassembly Techniques to ensure Privacy, Transparency and Control in Personalization

Published: 19 June 2023 Publication History

Abstract

The half-day tutorial demonstrates how web-assembly techniques can be used to create sandboxed user models as digital twins within web- and mobile applications. Such models can learn from the user’s behaviour and personalise the application to the user, while ensuring transparency of the model, and ability for the user to experiment and control the personalization. The advantage of using webassembly techniques to implement digital twin user models is that the user model is a plugin, insulated from the application, and thus the protecting the privacy of the user model.

References

[1]
Michael Grieves and John Vickers. 2017. Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems. Springer International Publishing, Cham, 85–113. https://doi.org/10.1007/978-3-319-38756-7_4
[2]
A. Kopponen, A. Hahto, P. Kettunen, T. Mikkonen, N. Makitalo, J. Nurmi, and M. Rossi. 2022. Empowering Citizens With Digital Twins: A Blueprint. IEEE Internet Computing 26, 05 (sep 2022), 7–16. https://doi.org/10.1109/MIC.2022.3159683
[3]
Kaushik P. Venkatesh, Marium M. Raza, and Joseph C. Kvedar. 2022. Health digital twins as tools for precision medicine: Considerations for computation, implementation, and regulation. npj Digital Medicine 5, 1 (22 Sep 2022), 150. https://doi.org/10.1038/s41746-022-00694-7

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  1. User Models as Digital Twins: Using Webassembly Techniques to ensure Privacy, Transparency and Control in Personalization

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        cover image ACM Conferences
        UMAP '23: Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
        June 2023
        333 pages
        ISBN:9781450399326
        DOI:10.1145/3565472
        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        New York, NY, United States

        Publication History

        Published: 19 June 2023

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        Author Tags

        1. Digital Twin
        2. Personalization
        3. Privacy
        4. Transparency
        5. User Model
        6. User-Control

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