IFTTT Recipe Analysis: Human Expectations for IoT Devices

More than 50,000 recipes were collected from the online If-This-Then-That (IFTTT) service to characterize how humans use Internet-of-Things devices. The dataset contains basic information for each rule, including the trigger and action events, as well as the number of users per recipe. This collection supports research into evolving user behaviors and the evaluation of algorithms for smart spaces.

Use Cases

• Modeling common IoT device interaction patterns based on trigger-action event pairs.
• Analyzing the popularity of specific automation rules using the user count per recipe.
• Evaluating smart-space system algorithms against real-world user expectations.
• Studying the evolution of user needs for IoT devices over time.

Strengths

• Contains a substantial sample of over 50,000 IFTTT recipes.
• Includes user engagement data via the count of people using each rule.
• Sourced from a major, real-world automation platform (IFTTT).

Limitations

• Column names and detailed schema are not provided in the available metadata.
• The exact temporal coverage and last update date are unknown.
• Dataset size (rows, file size) is unspecified across all sources.

Provenance

Source

Haoxiang Yu, The University of Texas at Austin, via the 4th International Workshop on Data: Acquisition To Analysis (DATA) at SenSys.

Collection Method

Collection and characterization of recipes from the online IFTTT service.