Demand Around the Clock: Time Use and Data Demand of Mobile Devices in Everyday Life

被引:16
|
作者
Widdicks, Kelly [1 ]
Bates, Oliver [1 ]
Hazas, Mike [1 ]
Friday, Adrian [1 ]
Beresford, Alastair R. [2 ]
机构
[1] Univ Lancaster, Sch Comp & Commun, Lancaster, England
[2] Univ Cambridge, Comp Lab, Cambridge, England
基金
英国工程与自然科学研究理事会;
关键词
sustainability; data demand; ICT; demand designed into practices;
D O I
10.1145/3025453.3025730
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Motivated by mobile devices' growing demand for connectivity, and concern in HCI with the energy intensity and sustainability of networked services, in this paper we reveal the impact of applications on smartphones and tablets in terms of network demand and time use. Using a detailed mixed methods study with eight participants, we first provide an account of how data demand has meaning and utility in our participants' social practices, and the timing and relative impacts of these. We then assess the scale of this demand by drawing comparison between our fine-grained observations and a more representative dataset of 398 devices from the Device Analyzer corpus. Our results highlight the significant categories of data demanding practice, and the identification of where changes in app time and duration of use might reduce or shift demand to reduce services' impacts.
引用
收藏
页码:5361 / 5372
页数:12
相关论文
共 50 条
  • [21] The Use of Data Cleansing in Mobile Devices
    del Pilar Angeles, Maria
    Garcia-Ugalde, Francisco
    Alcudia-Aguilera, David
    DBKDA 2011: THE THIRD INTERNATIONAL CONFERENCE ON ADVANCES IN DATABASES, KNOWLEDGE, AND DATA APPLICATIONS, 2011, : 16 - 22
  • [22] Using App Usage Data From Mobile Devices to Improve Activity-Based Travel Demand Models
    Gonzalez, Ana Belen Rodriguez
    Burrieza-Galan, Javier
    Diaz, Juan Jose Vinagre
    de Castro, Ines Peirats
    Wilby, Mark Richard
    Cantu-Ros, Oliva Garcia
    IEEE TRANSACTIONS ON BIG DATA, 2024, 10 (05) : 633 - 643
  • [23] Using Public Data to Predict Demand for Mobile Health Clinics
    Chen, Haipeng
    Ghosh, Susobhan
    Fan, Gregory
    Behari, Nikhil
    Biswas, Arpita
    Williams, Mollie
    Oriol, Nancy E.
    Tambe, Milind
    THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2022, : 12461 - 12467
  • [24] On-demand transient data storage and backup in mobile systems
    Hernmes, Jeffrey
    Poellabauer, Christian
    Thain, Douglas
    2007 IEEE MILITARY COMMUNICATIONS CONFERENCE, VOLS 1-8, 2007, : 2932 - 2938
  • [25] Broadcast on demand: Efficient and timely dissemination of data in mobile environments
    Xuan, P
    Sen, S
    Gonzalez, O
    Fernandez, J
    Ramamritham, K
    THIRD IEEE REAL-TIME TECHNOLOGY AND APPLICATIONS SYMPOSIUM, PROCEEDINGS, 1997, : 38 - 48
  • [26] Mobile Data Demand Drives all-IP Strategy
    Sweldens, Wim
    ENRICHING COMMUNICATIONS, 2011, 5 (01):
  • [27] TransitCrowd: Estimating Subway Stations Demand with Mobile Crowdsensing Data
    Piergiorgio Vitello
    Claudio Fiandrino
    Richard D. Connors
    Francesco Viti
    Data Science for Transportation, 2024, 6 (2):
  • [28] Time-of-use prices and electricity demand: Allowing for selection bias in experimental data
    Ham, JC
    Mountain, DC
    Chan, MWL
    RAND JOURNAL OF ECONOMICS, 1997, 28 : S113 - S141
  • [29] Immigrants' demand for informal and formal education: evidence from US time use data
    Coniglio, Nicola Daniele
    Hoxhaj, Rezart
    Jayet, Hubert
    JOURNAL OF DEMOGRAPHIC ECONOMICS, 2022, 88 (04) : 473 - 501
  • [30] On demand clock synchronization for live VM migration in distributed cloud data centers
    Patel, Yashwant Singh
    Page, Aditi
    Nagdev, Manvi
    Choubey, Anurag
    Misra, Rajiv
    Das, Sajal K.
    JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2020, 138 (138) : 15 - 31