An Analysis of 200,000 IFTTT Recipes Blase Ur, Melwyn Pak Yong Ho, - PowerPoint PPT Presentation

Trigger-Action Programming in the Wild: An Analysis of 200,000 IFTTT Recipes Blase Ur, Melwyn Pak Yong Ho, Stephen Brawner, Jiyun Lee, Sarah Mennicken, Noah Picard, Diane Schulze, Michael Littman 1

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Trigger-Action Programming 3

Trigger-Action Programming 4

Trigger-Action Programming 5

Trigger-Action Programming 6

Trigger-Action Programming 7

Trigger-Action Programming 8

Trigger-Action Programming 9

Trigger-Action Programming 10

Trigger-Action Programming 11

What are people creating on ? 12

Methodology • Collect all publicly shared IFTTT recipes 13

Methodology • Collect all publicly shared IFTTT recipes 14

Methodology • Collect all publicly shared IFTTT recipes – Using Selenium & ChromeDriver 15

Methodology • Collect all publicly shared IFTTT recipes – Using Selenium & ChromeDriver – As of September 6, 2015 16

Methodology • Collect all publicly shared IFTTT recipes – Using Selenium & ChromeDriver – As of September 6, 2015 – Compare to 2013 dataset (CHI 2014) 17

Methodology • Collect all publicly shared IFTTT recipes – Using Selenium & ChromeDriver – As of September 6, 2015 – Compare to 2013 dataset (CHI 2014) • Characterize recipes & ecosystem 18

Methodology • Collect all publicly shared IFTTT recipes – Using Selenium & ChromeDriver – As of September 6, 2015 – Compare to 2013 dataset (CHI 2014) • Characterize recipes & ecosystem • Share dataset with other researchers 19

Example 20

Example: Trigger Channel 21

Example: Trigger 22

Example: Action Channel 23

Example: Action 24

Example: Author 25

Example: Title 26

Example: Adoptions 27

Key Characteristics 28

Key Characteristics • Huge growth from 2013  2015 29

Key Characteristics • Huge growth from 2013  2015 – 67,820 recipes  224,590 recipes 30

Key Characteristics • Huge growth from 2013  2015 – 67,820 recipes  224,590 recipes – 35,495 authors  106,452 authors 31

Key Characteristics • Huge growth from 2013  2015 – 67,820 recipes  224,590 recipes – 35,495 authors  106,452 authors • Many authors, but few are prolific – Only 2.5% of authors shared 10+ recipes 32

Key Characteristics • Huge growth from 2013  2015 – 67,820 recipes  224,590 recipes – 35,495 authors  106,452 authors • Many authors, but few are prolific – Only 2.5% of authors shared 10+ recipes • Many connections are being made 33

Key Characteristics • Huge growth from 2013  2015 – 67,820 recipes  224,590 recipes – 35,495 authors  106,452 authors • Many authors, but few are prolific – Only 2.5% of authors shared 10+ recipes • Many connections are being made – 15,961 unique trigger-action combinations 34

Key Insights 35

Key Insights • IFTTT is big…and growing 36

Key Insights • IFTTT is big…and growing 37

Key Insights • IFTTT is big…and growing • Adoptions vs. duplicated functionality 38

Key Insights • IFTTT is big…and growing • Adoptions vs. duplicated functionality 39

Key Insights • IFTTT is big…and growing • Adoptions vs. duplicated functionality • Many diverse connections 40

Key Insights • IFTTT is big…and growing • Adoptions vs. duplicated functionality • Many diverse connections Trigger channels Action channels 41

Key Insights • IFTTT is big…and growing • Adoptions vs. duplicated functionality • Many diverse connections • ???????????? 42

Trigger-Action Programming in the Wild: An Analysis of 200,000 IFTTT Recipes Download the dataset at www.upod.io/datasets Blase Ur, Melwyn Pak Yong Ho, Stephen Brawner, Jiyun Lee, Sarah Mennicken, Noah Picard, Diane Schulze, Michael Littman 43