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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2023 . Peer-reviewed
License: Springer Nature TDM
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Defining Trigger-Action Rules via Voice: A Novel Approach for End-User Development in the IoT

Authors: Monge Roffarello, Alberto; De Russis, Luigi;

Defining Trigger-Action Rules via Voice: A Novel Approach for End-User Development in the IoT

Abstract

The possibility of personalizing devices and online services is important for end users living in smart environments, but existing End-User Development interfaces in this field often fail to provide users with the proper support, e.g., because they force users to deal with too many technological details. This paper explores novel approaches for personalizing IoT ecosystems via natural language and vocal interaction. We first conducted seven interviews to understand whether and how end users would converse with a conversational assistant to personalize their IoT ecosystems. Then, we designed and implemented two prototypes to define trigger-action rules through vocal and multimodal approaches. A usability study with 10 participants confirms the feasibility and effectiveness of personalizing the IoT via voice and opens the way to integrate personalization capabilities in smart speakers like Google Home and Amazon Echo.

Related Organizations
Keywords

End-User Development; Internet of Things; Trigger-Action Programming; Intelligent Personal Assistants

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Green