Automate the Internet With “If This Then That” (IFTTT)

Ovadia, Steven

doi:10.1080/01639269.2014.964593

Cited by 75 publications

(36 citation statements)

References 4 publications

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“…Fig. 1b shows another option in which Alice can employ a general-purpose IoT middleware as a sort of universal gateway (e.g., IFTTT [29], Hydra [12]). The advantage is that Alice only needs to learn one control language that can also leverage contextual data collected by diverse sensors.…”

Section: Motivation and Related Workmentioning

confidence: 99%

“…If a state has an even mix of positive and negative feedback, it gives "wishy-washy" proposals; it therefore makes sense to look for a way to split the state into two that are more internally consistent. if ES i > threshold then 29 Ψ ← {(S1, S2) : all pairs of S1 and S2 split Si along every context value} 30 maxGain ← max 31 if maxGain > requiredGain then 32 Split Si into S1, S2 Each element φ i ∈ Φ S contains the context in which an action was recommended (C i ), the proposal that was made by the device (P i ), and the (boolean) feedback (b i ).…”

Section: B Context Learning In Riotmentioning

confidence: 99%

“…At setup, a user usually needs to connect the devices based on mac addresses, name each device, and remember them. To interact with devices, the user either scripts the behavior in advance in arbitrary computer-friendly languages (e.g., IFTTT [29], Hydra [12]) or must recall the name defined at setup and issue commands like "set the light over the stove to bright". Neither the scripted behavior nor the tailored commands provide a seamless interaction paradigm.…”

Section: Introductionmentioning

confidence: 99%

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rIoT: Enabling Seamless Context-Aware Automation in the Internet of Things

Hua

Liu

Kalbarczyk

et al. 2019

2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)

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Advances in mobile computing capabilities and an increasing number of Internet of Things (IoT) devices have enriched the possibilities of the IoT but have also increased the cognitive load required of IoT users. Existing context-aware systems provide various levels of automation in the IoT. Many of these systems adaptively take decisions on how to provide services based on assumptions made a priori. The approaches are difficult to personalize to an individual's dynamic environment, and thus today's smart IoT spaces often demand complex and specialized interactions with the user in order to provide tailored services. We propose rIoT, a framework for seamless and personalized automation of human-device interaction in the IoT. rIoT leverages existing technologies to operate across heterogeneous devices and networks to provide a one-stop solution for device interaction in the IoT. We show how rIoT exploits similarities between contexts and employs a decision-tree like method to adaptively capture a user's preferences from a small number of interactions with the IoT space. We measure the performance of rIoT on two realworld data sets and a real mobile device in terms of accuracy, learning speed, and latency in comparison to two state-of-the-art machine learning algorithms.

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Section: Motivation and Related Workmentioning

confidence: 99%

Section: B Context Learning In Riotmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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rIoT: Enabling Seamless Context-Aware Automation in the Internet of Things

Hua

Liu

Kalbarczyk

et al. 2019

2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)

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“…IFTTT (IF This Then That) (Ovadia, 2014) is another interesting solution. It considers the user domain (devices) and exploits it by using web services able to communicate, link and control remote devices (such as connected lamps).…”

Section: Commercial Appsmentioning

confidence: 99%

One app to rule them all: collaborative injection of situations in an adaptable context-aware application

Karchoud

Roose

Dalmau

et al. 2018

J Ambient Intell Human Comput

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Currently, we are living in the era of ubiquitous computing, that introduces the possibility to have an increasing number of mobile applications on different types of devices with ever-growing capabilities. Consequently, the continuous rise of mobile applications opens the door for an unmatched number of diverse possibilities of what users can do and expect to do. Due to the high demand for apps and the unstoppable growth of app stores, the computing world is slowly shifting towards an interconnected, distributed, and contextaware digital ecosystem. With so many possible use cases and such diverse user needs, is it desirable to have one single application that does it all? Has it become a necessity to have one application able to understand users and eliminate the need for other applications?Our vision of this single application is a context-aware distributed mobile application dedicated to everyday users. This app needs to offer to the users a high level of comfort and a better-customized user experience by replying both re-actively and pro-actively to the users' needs without confusing them with the large diversity of apps and devices available. Nonetheless, no predefined application can predict or autonomously handle all the possible situations that could happen to the user in all different areas (shopping, work, travel, etc.), due to the infinite possibilities. Therefore, our proposal allows to dynamically Riadh Karchoud

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“…Real mashup tools for example IFTTT or Zapier focus on directing the data flow from one Web service to another. By orchestrating Web APIs real reactivity is being created (Ovadia, 2014). Such an approach opens up the possibilities of automation in between different Web services.…”

Section: Aggregation Of Web Resourcesmentioning

confidence: 99%

Facilitating the Reactive Web - A Condition Action System using Node.js

Groflin

Bosch²,

Guggisberg

et al. 2015

Proceedings of the 11th International Conference on Web Information Systems and Technologies

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Abstract:The orchestration of the Web is a big issue for Web users all around the world. Web users have a high interest in services, which are able to personalise and customise the Web. However, for Web reactivity there exists only a few limited solutions that allow the aggregation of Web resources. This paper takes a look at existing eventbased methods that build upon Event-Condition-Action (ECA) Rules and Complex Event Processing (CEP). Moreover, this paper illustrates the architecture of a fully functioning Condition Action System prototype for the creation of reactivity in between Web resources. In a proof of concept, we could detect and determine the change interval of electronic newspaper headlines. With the proposed system, we are able to orchestrate Web resources e.g. Detecting Web Changes.

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Automate the Internet With “If This Then That” (IFTTT)

Cited by 75 publications

References 4 publications

rIoT: Enabling Seamless Context-Aware Automation in the Internet of Things

rIoT: Enabling Seamless Context-Aware Automation in the Internet of Things

One app to rule them all: collaborative injection of situations in an adaptable context-aware application

Facilitating the Reactive Web - A Condition Action System using Node.js

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