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Cited by 390

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Practical trigger-action programming in the smart home

Ur, Blase, McManus, Elyse, Pak Yong Ho, Melwyn, Littman, Michael L.·2014·Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Abstract

We investigate the practicality of letting average users customize smart-home devices using trigger-action ("if, then") programming. We find trigger-action programming can express most desired behaviors submitted by participants in an online study. We identify a class of triggers requiring machine learning that has received little attention. We evaluate the uniqueness of the 67,169 trigger-action programs shared on IFTTT.com, finding that real users have written a large number of unique trigger-action interactions. Finally, we conduct a 226-participant usability test of trigger-action programming, finding that inexperienced users can quickly learn to create programs containing multiple triggers or actions.

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Metadata

Authors
Ur, B., McManus, E., Pak Yong Ho, M., & Littman, M. L.
Venue
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2014-04-26
Pages
803-812
OpenAlex
W2086239403
Cited by
390
References
1
FWCI
24.78
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Practical trigger-action programming in the smart home. https://app.cochat.ai/papers/10.1145/2556288.2557420
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Ur, B., McManus, E., Pak Yong Ho, M., & Littman, M. L. (2014). Practical trigger-action programming in the smart home. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/2556288.2557420

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.