DOI: 10.17635/lancaster/researchdata/125
title: Android device usage data investigating the time use and data demand of
      practices in everyday life

description: This dataset relates to a paper exploring the most data and energy
      intensive practices (watching, listening, social networking etc.) and time
      of use of this demand on Android devices
      (http://dx.doi.org/10.1145/3025453.3025730). This is a dataset arising
      from a mixed methods study involving detailed logs of application use on
      mobile devices, interview data and associated analysis. We include
      aggregate data for the Atlantic Archipelago dataset (398 devices); this
      data is used in the paper both textually and for the figures, and details
      about the data provided is listed below. To preserve participant
      anonymity, we are not at liberty to disclose data for our formative Eight
      Participants dataset. Instructions on how to access the Device Analyzer
      dataset are provided here: https://deviceanalyzer.cl.cam.ac.uk/. Note that
      we do not analyse app use or demand, and therefore category use or demand,
      for any apps installed on less than 50 devices to maintain an anonymity
      set. To further maintain participant anonymity, categories which have less
      than 10 devices (i.e. less than 10 of the devices demanded data or used
      apps within a category) have been removed, and all values have been
      rounded to 3 decimal places. Values which are zero are represented as
      ‘-0.0’, and values less than 0.000 (i.e. effectively zero) are represented
      as ‘+0.0’. Hourly data files: All hourly data files listed below present
      the average time use (i.e. the number of times an app had foreground
      status when the device screen was both on and unlocked), or average data
      demand (in kibibytes), of devices who were ‘active’ devices within each
      category- i.e. they were seen to use an app within a category, or the app
      within a category demanded data. For this data, we average across days for
      each device and then average across devices. The number of devices active
      within each category is provided in brackets next to each category name.
      1. AtlanticArchipelago_HourlyDataDemand.csv – this data represents the
      distribution of data demand hourly across the demanding app categories for
      Atlantic Archipelago. The categories of ‘Watching’, ‘Listening’, ‘Social
      Networking’ and ‘Communication’ were used to produce Figure 5b in the
      paper. The categories of ‘Background Processes and Services’, ‘Software
      and Application Updates’, and ‘Storage, Backups and Transfers’ were used
      to produce Figure 7 in the paper. 2. AtlanticArchipelago_HourlyTimeUse.csv
      – this data represents the distribution of time use hourly across the used
      app categories for Atlantic Archipelago. The categories of ‘Watching’,
      ‘Listening’, ‘Social Networking’ and ‘Communication’ were used to produce
      Figure 5a in the paper. 3. AtlanticArchipelago_HourlyCommunicatonUse.csv –
      this data represents the distribution of communication time use hourly for
      Atlantic Archipelago, used to produce Figure 6 in the paper. Hourly
      communication use consists of the number of: SMS sent and received, phone
      calls, and times communication apps were in the foreground. Daily data
      file: 1. AtlanticArchipelago_DailyDataDemandTotals.csv – this data
      represents the total daily data demand from the 350 devices which demanded
      data from the Atlantic Archipelago dataset. For this data, we average
      across days for each device and then sum each device for the daily totals.
      This data was used textually in the paper. We provide the following
      values: a. Overall demand (bytes): the total data demand each day for the
      Atlantic Archipelago devices. b. Overall demand (bytes) from categories:
      the total data demand each day that we are able to categorise, and its
      percentage of overall demand each day. c. Category demand (bytes): the
      total average data demand for each category, and each category’s
      percentage of overall demand. Data files are embargoed until 6/5/2017.