Journal
34TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2016
Volume -, Issue -, Pages 3227-3231Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/2858036.2858556
Keywords
IFTTT; End-User Programming; End-User Composition; Trigger-Action Programming; Internet of Things (IoT)
Categories
Funding
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1319618] Funding Source: National Science Foundation
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While researchers have long investigated end-user programming using a trigger-action (if-then) model, the website IFTTT is among the first instances of this paradigm being used on a large scale. To understand what IFTTT users are creating, we scraped the 224,590 programs shared publicly on IFTTT as of September 2015 and are releasing this dataset to spur future research. We characterize aspects of these programs and the IFTTT ecosystem over time. We find a large number of users are crafting a diverse set of end-user programs-over 100,000 different users have shared programs. These programs represent a very broad array of connections that appear to fill gaps in functionality, yet users often duplicate others' programs.
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