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
   

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2. 2
   Photo: Liz Hafalia, The Chronicle + NBC News
   

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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%
   

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4. 4
   ALWAYS USED
   But I always use the same apps!
   

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5. 5
   ALWAYS USED
   MEH... SOMETIMES
   But I always use the same apps!
   

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6. 6
   ALWAYS USED
   MEH... SOMETIMES
   WAS THIS APP EVEN
   HERE?
   • APP USAGE CHANGES
   • APPS CHANGE
   But I always use the same apps!
   

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7. 7
   Monotony
   vs
   Growth of app usage
   

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8. 8
   •Screen time of 90K people
   •Over 8 months
   •69K different apps
   •12M of people’s hours spent on apps
   Data
   

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9. 9
   Data (pseudo-anonymized)
   

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10. 10
    Data (pseudo-anonymized)
    

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11. 11
    Data (pseudo-anonymized)
    

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12. 12
    Data (pseudo-anonymized)
    •Screen time
    •No network-based approaches
    •Unique dataset of app usage
    

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13. 13
    • "
    ~ ( + '
    ))*),
    -
    • = 1.19 ± 0.01
    Characterizing App usage
    

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14. 14
    • "
    ~ ( + '
    ))*),
    -
    • = 1.19 ± 0.01
    Characterizing App usage
    • "
    ~ ())*
    • = 1.27 ± 0.01
    

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15. 15
    • "
    ~ ( + '
    ))*),
    -
    • = 1.19 ± 0.01
    Characterizing App usage
    • "
    ~ ())*
    • = 1.27 ± 0.01
    • ~ 9
    • γ = 0.41
    

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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
    

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    The familiar apps over time: the App space
    THE APP SPACE (t)
    

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    • 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
    

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19. App space over time (adopted and dropped apps)
    <
    < = (<) = 4
    THE APP SPACE (t)
    

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20. App space over time (adopted and dropped apps)
    B
    <
    < = (<) = 4
    B = (B) = 5
    THE APP SPACE (t)
    

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21. App space over time (adopted and dropped apps)
    D
    B
    <
    < = (<) = 4
    B = (B) = 5
    D = (D) = 4
    THE APP SPACE (t)
    

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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)
    

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    • Gain: M
    = M
    − M
    ()
    • 97.5% of people exhibit a conserved capacity ( OP
    QRP
    ≤ 1)
    Adoped and dropped apps
    

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24. What is the conserved capacity?
    On average:
    •Everytime a new app is adopted, an older app is discarded
    THE APP SPACE (t)
    

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    •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
    

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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
    

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27. 27
    What about age?
    

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28. 28
    What about age?
    

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29. 29
    What about age?
    16
    What about age?
    

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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?
    

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31. 31
    Then?
    

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32. 32
    Strategies and limitations in app
    usage and human mobility
    https://arxiv.org/abs/1904.09350
    

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33. 33
    Apps, Mobility, Social interactions are conserved
    DUNBAR’S NUMBER OF APPS?
    

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34. ANGELO CARDOSO BRUNO LEPRI
    ANTONIO LIMA
    Thank you!
    @denadai2
    NURIA OLIVER
    

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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
    

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36. 36
    Apps that stay the most
    ~10% of apps are always kept
    ~17.5% are continuosly changed
    

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37. 37
    Strategy vs age
    

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