Android device usage data investigating the time use and data demand of practices in everyday life

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.

本数据集关联一项探究安卓（Android）设备上数据与能耗密集型实践（观影、音频收听、社交网络等），以及这些实践的使用时长与数据需求的研究论文（http://dx.doi.org/10.1145/3025453.3025730）。本数据集源自一项混合方法研究，涵盖移动设备应用使用详情日志、访谈数据及配套分析工作。我们提供了大西洋群岛（Atlantic Archipelago）数据集的聚合数据，共覆盖398台设备；该数据在论文中以文本及图表形式被使用，下文将详述所提供数据的细节。为保护参与者匿名性，我们无权公开初始的8名参与者数据集。访问设备分析器（Device Analyzer）数据集的指南详见：https://deviceanalyzer.cl.cam.ac.uk/。请注意，为维持匿名集，我们未对安装量少于50台设备的应用的使用情况或需求、即对应类别的使用或需求进行分析。为进一步保障参与者匿名性，涉及设备数少于10台的类别（即该类别中产生数据需求或使用应用的设备不足10台）已被移除，且所有数值均保留三位小数。零值以"-0.0"表示，小于0.000（即近似为零）的数值以"+0.0"表示。

小时级数据文件：下文列出的所有小时级数据文件，均展示了各分类下活跃设备的平均使用时长（即应用处于前台且设备屏幕点亮并解锁的次数）或平均数据需求（单位：基比字节（kibibyte））。此处的活跃设备指在该分类中使用过应用，或该分类内的应用产生了数据需求的设备。针对此类数据，我们先对每台设备的单日数据取平均，再跨设备取平均。各分类名称旁的括号内标注了该分类下的活跃设备数量。
1. AtlanticArchipelago_HourlyDataDemand.csv：该数据展示了大西洋群岛数据集内产生数据需求的应用分类的小时级数据需求分布。论文中的图5b由"观影""音频收听""社交网络"与"通信"四个分类生成，图7则由"后台进程与服务""软件与应用更新""存储、备份与传输"三个分类生成。
2. AtlanticArchipelago_HourlyTimeUse.csv：该数据展示了大西洋群岛数据集内被使用的应用分类的小时级使用时长分布。论文中的图5a由"观影""音频收听""社交网络"与"通信"四个分类生成。
3. AtlanticArchipelago_HourlyCommunicatonUse.csv：该数据展示了大西洋群岛数据集的小时级通信使用时长分布，用于生成论文中的图6。小时级通信使用时长涵盖：发送与接收的短信数量、通话次数，以及通信应用处于前台的次数。

单日数据文件：
1. AtlanticArchipelago_DailyDataDemandTotals.csv：该数据展示了大西洋群岛数据集中产生数据需求的350台设备的单日总数据需求。针对此类数据，我们先对每台设备的单日数据取平均，再将各设备的数值求和以得到单日总数据。该数据在论文中以文本形式被使用。我们提供以下数值：
a. 总需求（字节）：大西洋群岛设备每日的总数据需求。
b. 分类总需求（字节）：每日可归类的数据总需求，及其占当日总数据需求的百分比。
c. 分类需求（字节）：各分类的平均总数据需求，以及各分类占当日总数据需求的百分比。

本数据集文件的访问权限将被限制至2017年5月6日。