research-article

Diversity in locked and unlocked mobile device usage

Authors:

Daniel Hintze,

Rainhard D. Findling,

Muhammad Muaaz,

Sebastian Scholz,

René MayrhoferAuthors Info & Claims

UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

Pages 379 - 384

https://doi.org/10.1145/2638728.2641697

Published: 13 September 2014 Publication History

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Abstract

We analyze locked and unlocked mobile device usage of 1 960 Android smartphones. Based on approximately 10TB of mobile device data logs collected by the Device Analyzer project, we derive 6.9 million usage sessions using a screen power state machine based approach. From these session we examine the number of interactions per day, the average interaction duration as well as the total daily device usage time. Findings indicate that on average users interact with their devices 117 minutes a day, separated over 57 interactions -- while unlocking their device only 43% of the time (e. g. to check for notifications).

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Cited By

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Tian YZhou KPelleg D(2023)Characterization and Prediction of Mobile TasksACM Transactions on Information Systems10.1145/352271141:1(1-39)Online publication date: 9-Jan-2023
https://dl.acm.org/doi/10.1145/3522711
Monge Roffarello ADe Russis L(2022)Understanding and Streamlining App Switching Experiences in Mobile InteractionInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2021.102735158:COnline publication date: 3-Jan-2022
https://dl.acm.org/doi/10.1016/j.ijhcs.2021.102735
Mayrhofer RStoep JBrubaker CKralevich N(2021)The Android Platform Security ModelACM Transactions on Privacy and Security10.1145/344860924:3(1-35)Online publication date: 28-Apr-2021
https://dl.acm.org/doi/10.1145/3448609
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Index Terms

Diversity in locked and unlocked mobile device usage
1. General and reference
  1. Cross-computing tools and techniques
    1. Metrics
2. Security and privacy
  1. Security services
    1. Authentication
  2. Systems security
    1. Operating systems security

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Published In

UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

September 2014

1409 pages

ISBN:9781450330473

DOI:10.1145/2638728

General Chairs:
AJ Brush
Microsoft Research
,
Adrian Friday
Lancaster University, UK
,
Program Chairs:
Julie Kientz
University of Washington
,
James Scott
Microsoft Research, UK
,
Junehwa Song
Korea Advanced Institute of Science and Technology (KAIST), KR

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 September 2014

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Drei-Banken-EDV GmbH
Christian Doppler Gesellschaft
A1 Telekom Austria AG
LG Nexera Business Solutions AG
NXP Semiconductors Austria GmbH

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UbiComp '14

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UbiComp '14: The 2014 ACM Conference on Ubiquitous Computing

September 13 - 17, 2014

Washington, Seattle

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Tian YZhou KPelleg D(2023)Characterization and Prediction of Mobile TasksACM Transactions on Information Systems10.1145/352271141:1(1-39)Online publication date: 9-Jan-2023
https://dl.acm.org/doi/10.1145/3522711
Monge Roffarello ADe Russis L(2022)Understanding and Streamlining App Switching Experiences in Mobile InteractionInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2021.102735158:COnline publication date: 3-Jan-2022
https://dl.acm.org/doi/10.1016/j.ijhcs.2021.102735
Mayrhofer RStoep JBrubaker CKralevich N(2021)The Android Platform Security ModelACM Transactions on Privacy and Security10.1145/344860924:3(1-35)Online publication date: 28-Apr-2021
https://dl.acm.org/doi/10.1145/3448609
Heitmayer M(2021)“It's Like Being Gone For A Second”Proceedings of the 23rd International Conference on Mobile Human-Computer Interaction10.1145/3447526.3472026(1-17)Online publication date: 27-Sep-2021
https://dl.acm.org/doi/10.1145/3447526.3472026
Liang CYu CWei XXu XHu YWang YShi YKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Auth+Track: Enabling Authentication Free Interaction on Smartphone by Continuous User TrackingProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445624(1-16)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445624
Tian YZhou KLalmas MPelleg DHuang JChang YCheng XKamps JMurdock VWen JLiu Y(2020)Identifying Tasks from Mobile App Usage PatternsProceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3397271.3401441(2357-2366)Online publication date: 25-Jul-2020
https://dl.acm.org/doi/10.1145/3397271.3401441
Mishra S(2020)Learning from Usage Analysis of Mobile DevicesProcedia Computer Science10.1016/j.procs.2020.03.375167(1648-1655)Online publication date: 2020
https://doi.org/10.1016/j.procs.2020.03.375
Avery JVogel DLank EMasson DRateau H(2019)Holding patternsProceedings of the 31st Conference on l'Interaction Homme-Machine10.1145/3366550.3372253(1-7)Online publication date: 10-Dec-2019
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Qiu LDe Luca AMuslukhov IBeznosov KBrewster SFitzpatrick GCox AKostakos V(2019)Towards Understanding the Link Between Age and Smartphone AuthenticationProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300393(1-10)Online publication date: 2-May-2019
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Ashibani YMahmoud Q(2019)Classification and Feature Extraction for User Identification for Smart Home Networks Based on Apps Access History2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)10.1109/ICMLA.2019.00070(376-380)Online publication date: Dec-2019
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A Large-Scale, Long-Term Analysis of Mobile Device Usage Characteristics

Mobile Device Usage Characteristics: The Effect of Context and Form Factor on Locked and Unlocked Usage

Impact of mobile device usage and temporal distance on consumer post-consumption evaluations: Evidence from TripAdvisor

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