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Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (5): 82-93    DOI: 10.11925/infotech.2096-3467.2017.05.10
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Collecting Mobile Data Based on Content Awareness——An Empirical Study
Xia Lixin, Yang Jinqing(), Cheng Xiufeng
School of Information Management, Central China Normal University, Wuhan 430079, China
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Abstract  

[Objective] This paper proposes the framework for a mobile data retrieval and analysis system based on context-awareness, aiming to optimize the related data mining procedures. [Context] Nowadays, the automatic dynamic and comprehensive applications for mobile data mining were still being developed. [Methods] First, we proposed a framework to collect mobile data from the client side with the help of Android AWARE sensor. The collected data was received by the server automatically. Then, we designed an empirical study to analyze the retrieved APP usage data. [Results] The proposed system could effectively recommand useful APPs to the mobile users. [Limitations] More in-depth analysis was needed to examine the collected data. [Conclusions] The proposed framework could help us effectly retrieve and analyze mobile useage data, which benefits the contextual computing research and the mobile informaiton behavior studies.
Key words： Context Awareness      Application Framework      Android      Context Reasoning      User Behavior     
Received: 09 December 2016      Published: 06 June 2017
ZTFLH:  G25 TP311  
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Lixin Xia
Jinqing Yang
Xiufeng Cheng

Cite this article:

Xia Lixin,Yang Jinqing,Cheng Xiufeng. Collecting Mobile Data Based on Content Awareness——An Empirical Study. Data Analysis and Knowledge Discovery, 2017, 1(5): 82-93.

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https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.05.10     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2017/V1/I5/82

传感器 类型 描述
HW SW H
Accelerometer √ 表示沿着设备轴的加速度力包括重力
Application √ 用于记录设备上的前台和后台运行的应用名称
Barometer √ 表示记录大气气压有关的传感器信息
Battery √ 产生电池和电源事件数据(如重启、关闭)
Bluetooth √ 内置的蓝牙传感器产生信息和执行间隔扫描附近的蓝牙设备
Communication √ 用于用户的通讯活动, 例如通话状态、信息状态
ESM √ 通过ESM问卷获取用户提供的数据, ESM是由情境事件、时间等触发
Gravity √ 表示沿着设备轴的重力有关的传感器信息
Installations √ 用于记录移动设备上的应用程序添加、删除或更新的信息
Light √ 用于感触周围环境亮度信息
Locations √ √ 记录移动设备的网络和GPS位置信息并提供最可靠的位置信息
Network √ 记录使用网络情况, 例如移动网络、WiFi
Orientation √ 表示沿着设备轴的方位角有关的传感器信息
Processor √ 记录系统、用户和移动处理器的工作负载
Proximity √ 记录设备和对象之间的距离
Screen √ √ 记录屏幕状态以及用户的锁定和释放事件
TYPE 参数名称 传感器名称
1 TYPE_ACCELEROMETER 加速度传感器
4 TYPE_GYROSCOPE 陀螺仪传感器
5 TYPE_LIGHT 光照传感器
2 TYPE_MAGNETIC_FIELD 磁力计传感器
3 TYPE_ORIENTATION 方位传感器
6 TYPE_PRESSURE 压力传感器
8 TYPE_PROXIMITY 距离传感器
7 TYPE_TEMPERATURE 温度传感器
9 TYPE_APPLICATION 应用记录传感器
-1 TYPE_ALL 所有传感器
数据采集系统服务器
Web服务器 MQTT服务器
Data MVC Messages Repository
Databases Messages
元组 记录 记录解释
硬件传感器(列举 个) Location
地理空间
Location=<device_id,timestamp,latitude,longitude,accuracy>		 device_id 设备ID
timestamp 记录时的时间戳
latitude 用户所处的纬度
longitude 用户所处的经度
accuracy 位置的误差值
Device
手机品牌、型号及软件版本
Device=<device_id,timestamp,hardware,product>		 device_id 设备ID
timestamp 记录时的时间戳
hardware 移动设备代码
product 移动设备名称及型号
Temperature
手机外部温度
Temperature=<device_id,timestamp,tempOut, accuracy>		 device_id 设备ID
timestamp 记录时的时间戳
tempOut 设备外部环境温度
accuracy 外部温度的误差
Battery
手机电池温度
Battery =<device_id,timestamp,tempIn, battery_level>		 device_id 设备ID
timestamp 记录时的时间戳
tempIn 手机内部温度(电池温度)
battery_level 电池温度的合理范围
WIFI
手机WiFi,
WIFI=<device_id, timestamp, ssid, frequency>		 device_id 设备ID
timestamp 记录时的时间戳
ssid 当前连接的网络接口名称
frequency WiFi宽带频率
软件传感器(列举4个) App-Foreground
正在运行的APP
App-Foreground=<device_id,timestamp,app_name, Is_sys_app>		 device_id 设备ID
timestamp 记录时的时间戳
app_name 正在运行的APP应用
Is_sys_app 判断是否系统自带APP
App-History
手机APP运行历史
App-History=<device_id, timestamp,app_name, end_ time>		 device_id 设备ID
timestamp 记录时的时间戳
app_name 使用过的所有APP应用名称
end_time APP应用使用终止的时间
App-Notification
手机应用通知
App-Notification=<device_id, timestamp,app_name, text>		 device_id 设备ID
timestamp 记录时的时间戳
app_name 被发送通知消息的所有APP名称
text 通知消息的标题内容
App-Crash
手机应用运行错误
App-Crash=<device_id, timestamp,app_name, error>		 device_id 设备ID
timestamp 记录时的时间戳
app_name 运行错误的所有APP应用名称
error 记录错误类型
关联(中层情境) 推理适用算法 高层情境
Life生活型情境 K-means、SOM、FCM… 表示App-History中存在某种生活规律
Influence影响型情境 SVD、NSFCM、VSM… 表示App-Notification中通知信息的干扰性
Experience体验型情境 Apriori、FP Growth、Eclat… 表示Device、Location、tempIn-temp间存在的相关关系
Mental心理型情境 Apriori、FP Growth、Eclat… 表示App-Crash与App-History、Device间存在的相关关系
Device_id 时间 经度 纬度 电量 任务
a32f534c4a 2016-09-09 15:01:18 30.521051 114.357306 45 有道词典
a32f534c4a 2016-09-09 15:18:00 30.521051 114.357306 45 有道词典
a32f534c4a 2016-09-09 15:19:45 30.521051 114.357306 44 有道词典
a32f534c4a 2016-09-09 16:02:18 30.521051 114.357306 30 有道词典
a32f534c4a 2016-09-09 16:28:22 30.521051 114.357306 30 有道词典
列 列名 说明
1 NA 行ID
2 Deviceid 设备ID, 同一手机内的不同APP应用使用ID来关联
3 APP_name 对应不同用户不同的APP, 由“<app分类名称>.<app名称>”组成
4 timestamp 不同用户使用和终止APP时间
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