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A human-centered decentralized architecture and recommendation engine in SIoT

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Abstract

The Internet of Things (IoT) enables smart objects to connect and share information, thus unlocking the potential for end users to receive more and better information and services. In the Social IoT (SIoT), objects adopt a social behavior, where they establish social connections to other objects and can operate autonomously in order to accomplish a given task. In this work, we present an SIoT architecture, called DANOS, based on three principles, dynamicity, decentralization, and anthropomorphism. Specifically, in DANOS (a) smart objects dynamically adapt their social neighborhood depending on the task, (b) information is decentralized and kept private, while efficient discovery mechanisms are prescribed, and (c) smart objects adopt a human-centered behavior determined by the personality traits of their users. We consider a general class of tasks that can be formulated as recommendations, and demonstrate how DANOS orchestrates the objects’ social behavior. An extensive experimental evaluation validates our design choices, showing that three principles together result in improving the effectiveness of recommendations. The key lesson learned from our work is that SIoT architectures can benefit from the adoption of aspects of dynamicity, decentralization, and anthropomorphism.

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  1. https://grouplens.org/datasets/movielens/1m/.

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  1. NextX, Kurfürsten-Anlage 52, 69115, Heidelberg, Germany

    Daniel Defiebre

  2. Université Libre de Bruxelles, Campus du Solbosch – CP 165/15, Avenue F. D. Roosevelt 50, 1050, Brussels, Belgium

    Dimitris Sacharidis

  3. UX S/4HANA, Product Engineering, Intelligent Enterprise Group, SAP SE, P.O. Box 69190, 69190, Walldorf, Germany

    Panagiotis Germanakos

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Defiebre, D., Sacharidis, D. & Germanakos, P. A human-centered decentralized architecture and recommendation engine in SIoT. User Model User-Adap Inter 32, 297–353 (2022). https://doi.org/10.1007/s11257-022-09320-3

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