Strategies and limitations in app usage and human mobility

Transcript

1. Strategies and limitations in app usage and human mobility Marco De Nadai, Antonio Lima, Angelo Cardoso, Bruno Lepri and Nuria Oliver
2. 2 Photo: Liz Hafalia, The Chronicle + NBC News
3. 3 PEOPLE SPEND AN INCREASINGLY AMOUNT OF TIME ON THE PHONE […] REACHING 3 HOURS PER DAY THERE ARE 2.1M APPS IN THE GOOGLE PLAY STORE App usage statistics by Statista.com & hubspot.net USER ENGAGMENT INCREASED BY 23%
4. 4 ALWAYS USED But I always use the same apps!
5. 5 ALWAYS USED MEH... SOMETIMES But I always use the same apps!
6. 6 ALWAYS USED MEH... SOMETIMES WAS THIS APP EVEN HERE? • APP USAGE CHANGES • APPS CHANGE But I always use the same apps!
7. 7 Monotony vs Growth of app usage
8. 8 •Screen time of 90K people •Over 8 months •69K different apps •12M of people’s hours spent on apps Data
9. 9 Data (pseudo-anonymized)
10. 10 Data (pseudo-anonymized)
11. 11 Data (pseudo-anonymized)
12. 12 Data (pseudo-anonymized) •Screen time •No network-based approaches •Unique dataset of app usage
13. 13 • " ~ ( + ' ))*), - • = 1.19 ± 0.01 Characterizing App usage
14. 14 • " ~ ( + ' ))*), - • = 1.19 ± 0.01 Characterizing App usage • " ~ ())* • = 1.27 ± 0.01
15. 15 • " ~ ( + ' ))*), - • = 1.19 ± 0.01 Characterizing App usage • " ~ ())* • = 1.27 ± 0.01 • ~ 9 • γ = 0.41
16. 16 • " ~ ( + ' ))*), - • = 1.19 ± 0.01 Characterizing App usage • " ~ ())* • = 1.27 ± 0.01 • ~ 9 • γ = 0.41 • PEOPLE TIME IS FOCUSED ON FEW APPS • PEOPLE KEEP EXPLORING NEW APPS
17. 17 The familiar apps over time: the App space THE APP SPACE (t)
18. 18 • Apps used at least twice and for at least 10 min per week • 20 weeks long sliding windows (1 week) • How does the App space evolve over time? The familiar apps over time: the App space THE APP SPACE (t) THE APP SPACE (t-1) THE APP SPACE (t+1) 1 WEEK 1 WEEK
19. App space over time (adopted and dropped apps) < < = (<) = 4 THE APP SPACE (t)
20. App space over time (adopted and dropped apps) B < < = (<) = 4 B = (B) = 5 THE APP SPACE (t)
21. App space over time (adopted and dropped apps) D B < < = (<) = 4 B = (B) = 5 D = (D) = 4 THE APP SPACE (t)
22. App space over time (adopted and dropped apps) <)B = <)B = B)D = B)D = D B < < = (<) = 4 B = (B) = 5 D = (D) = 4 THE APP SPACE (t)
23. 23 • Gain: M = M − M () • 97.5% of people exhibit a conserved capacity ( OP QRP ≤ 1) Adoped and dropped apps
24. What is the conserved capacity? On average: •Everytime a new app is adopted, an older app is discarded THE APP SPACE (t)
25. 25 •Local shuffle: app usage order of a user No time consequence (KS: 0.55 p-value < 0.001). •Global: app usage among users (KS: 0.98 p-value < 0.001). It’s an individual characteristics. Is capacity a time-constraints consequence? < B D T USER A D T < B < B D T USER A < B D T < B D T USER B < B D T
26. 26 The app strategy • EXPLORERS (M ≫ ) • KEEPERS (M ≪ ) • Explorers adopt 1 new app every 28 weeks • Keepers always keep using the same apps M = M / M
27. 27 What about age?
28. 28 What about age?
29. 29 What about age? 16 What about age?
30. 30 People are focused on few apps, but keep exploring. Individuals exhibit a conserved app capacity •Capacity is an individual behaviour •Capacity varies with age •We can define app explorers and keepers •AND MORE! So?
31. 31 Then?
32. 32 Strategies and limitations in app usage and human mobility https://arxiv.org/abs/1904.09350
33. 33 Apps, Mobility, Social interactions are conserved DUNBAR’S NUMBER OF APPS?
34. ANGELO CARDOSO BRUNO LEPRI ANTONIO LIMA Thank you! @denadai2 NURIA OLIVER
35. 35 • Alessandretti, Laura, et al. "Evidence for a conserved quantity in human mobility." Nature human behaviour 2.7 (2018): 485. • Alessandretti, Laura, Sune Lehmann, and Andrea Baronchelli. "Understanding the interplay between social and spatial behaviour." EPJ Data Science 7.1 (2018): 36. • Pappalardo, Luca, et al. "Returners and explorers dichotomy in human mobility." Nature communications 6 (2015): 8166. • Miritello, Giovanna, et al. "Limited communication capacity unveils strategies for human interaction." Scientific reports 3 (2013): 1950. References
36. 36 Apps that stay the most ~10% of apps are always kept ~17.5% are continuosly changed
37. 37 Strategy vs age