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

arXiv: https://arxiv.org/abs/2110.00068 · HTML: https://mlsanity.com/paper/2110.00068/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Sep 2021.

## Built on by (most cited first, 5 of 5)

- [HomeBench: Evaluating LLMs in Smart Homes with Valid and Invalid Instructions Across Single and Multiple Devices](https://mlsanity.com/paper/2505.19628/) (2025)
- [SAGE: Smart home Agent with Grounded Execution](https://mlsanity.com/paper/2311.00772/) (2023)
- [Towards Privacy-Preserving and Personalized Smart Homes via Tailored Small Language Models](https://mlsanity.com/paper/2507.08878/) (2025)
- [PEC-Home: Interpretation of Progressively Elliptical Commands in Smart Homes](https://mlsanity.com/paper/2606.18636/) (2026)
- [SCENIC: Semantic-Conditioned Edge-Aware Neural Framework for Structured IoT Command Generation](https://mlsanity.com/paper/2606.22296/) (2026)

## Abstract (arXiv)

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?"