Dataset Open Access

Dataset: Analysis of IFTTT Recipes to Study How Humans Use Internet-of-Things (IoT) Devices

Haoxiang Yu; Jie Hua; Christine Julien

This archive contains the files submitted to the 4th International Workshop on Data: Acquisition To Analysis (DATA) at SenSys. Files provided in this package are associated with the paper titled "Dataset: Analysis of IFTTT Recipes to Study How Humans Use Internet-of-Things (IoT) Devices"

With the rapid development and usage of Internet-of-Things (IoT) and smart-home devices, researchers continue efforts to improve the ''smartness'' of those devices to address daily needs in people's lives. Such efforts usually begin with understanding evolving user behaviors on how humans utilize the devices and what they expect in terms of their behavior. However, while research efforts abound, there is a very limited number of datasets that researchers can use to both understand how people use IoT devices and to evaluate algorithms or systems for smart spaces. In this paper, we collect and characterize more than 50,000 recipes from the online If-This-Then-That (IFTTT) service to understand a seemingly straightforward but complicated question: ''What kinds of behaviors do humans expect from their IoT devices?'' The dataset we collected contains the basic information of the IFTTT rules, trigger and action event, and how many people are using each rule.

For more detail about this dataset, please refer to the paper listed above.

This work was funded in part by the National Science Foundation under grants CNS-1813263 and CNS-1909221. Any opinions, findings, conclusions, or recommendations expressed are those of the authors and do not necessarily reflect the views of the NSF.
Files (194.9 MB)
Name Size
Analysis on the dataset.ipynb
md5:3b1cf3fe2d0fc196b21d896db2b3ffe2
8.2 MB Download
categories_with_service.json
md5:4716dba8cc6eb1e08c0f52db37d53e03
12.4 kB Download
licenses.txt
md5:27d5389e17100ec415445cb975df791b
282 Bytes Download
service_with_categories.json
md5:535c47c1fe19d2da4afb7551bc26519a
27.2 kB Download
Step1_Raw_Data.csv
md5:5886e746d6b6d9fae2ef3b508c69f579
136.6 MB Download
Step2_Popular_Rules.csv
md5:2b7d772525f4bcc6e98133ad68fa01d7
34.3 MB Download
Step3_IoT_Rules.csv
md5:6de4c88657febb5af19d97ee9f2e00c9
8.0 MB Download
Step4_Single_Trigger_IoT_Rules.csv
md5:3ef5e65d8efc75cad554e448ef5322e8
7.7 MB Download
  • Haoxiang Yu, Jie Hua, and Christine Julien. 2021. Analysis of IFTTT Recipes to Study How Humans Use Internet-of-Things (IoT) Devices. In Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems (SenSys '21). Association for Computing Machinery, New York, NY, USA, 537–541. DOI:https://doi.org/10.1145/3485730.3494115

248
371
views
downloads
All versions This version
Views 248248
Downloads 371371
Data volume 24.4 GB24.4 GB
Unique views 219219
Unique downloads 164164

Share

Cite as