Creating Routines for IoT Ecosystems through Conversation with Smart Speakers

Barricelli, Barbara Rita; Bondioli, Alessandro; Fogli, Daniela; Iemmolo, Letizia; Locoro, Angela

doi:10.1080/10447318.2023.2247845

Cited by 4 publications

(2 citation statements)

References 36 publications

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“…The user interface of the End-User Development feature for routine creation has not been presented in this paper, since this topic has been investigated for many years by the authors, and a proposal exploiting multi-modal interaction with virtual assistants has been recently presented in [19]. The idea is to integrate a similar feature in the presented Digital Twin.…”

Section: Discussionmentioning

confidence: 99%

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Enabling End-User Development in Smart Homes: A Machine Learning-Powered Digital Twin for Energy Efficient Management

Cotti,

Guizzardi,

Barricelli

et al. 2024

Future Internet

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End-User Development has been proposed over the years to allow end users to control and manage their Internet of Things-based environments, such as smart homes. With End-User Development, end users are able to create trigger-action rules or routines to tailor the behavior of their smart homes. However, the scientific research proposed to date does not encompass methods that evaluate the suitability of user-created routines in terms of energy consumption. This paper proposes using Machine Learning to build a Digital Twin of a smart home that can predict the energy consumption of smart appliances. The Digital Twin will allow end users to simulate possible scenarios related to the creation of routines. Simulations will be used to assess the effects of the activation of appliances involved in the routines under creation and possibly modify them to save energy consumption according to the Digital Twin’s suggestions.

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Section: Discussionmentioning

confidence: 99%

“…Scientific research (e.g., refs. [11][12][13][14]) has addressed the problem of allowing the creation of more complex rules through easy-to-use graphical user interfaces, augmented reality [15], voicebased interfaces [16][17][18], and multi-modal interfaces combining visual, voice, and touch interaction [19].…”

Section: Introductionmentioning

confidence: 99%