CRAWDAD telefonica/mobilephoneuse

Detailed logs of mobile phone usage of 342 people over the course of ca. 4 weeks. Contains events from 25 physical and virtual sensors (e.g. app in foreground, received notifications, ambient noise level, semantic location, ...), frequent self reports of emotions (valence and arousal), and for some participants self-reported traits (Big 5 Traits, Boredom Proneness [BPS], Patient Health Questionnaire [PHQ8]). Sensors: acceleration, airplane mode, app in foreground, audio, battery, battery drain, cell tower details, data consumption, ambient light, ambient noise, notifications, notification center access, notification dismissed, notifications cleared, device orientation, phone calls, photos, proximity (screen covered or not), screen events (on, off, unlocked), screen orientation (portrait, landscape), semantic location (home, work, ...), sms events, user activity (sitting, in vehicle, ...), wifi details. Details can be found at https://sites.google.com/view/mobile-phone-use-datasetlast modified : 2019-04-29nickname : mobilephoneuseinstitution : telefonicarelease date : 2019-04-29date/time of measurement start : 2016-04-15date/time of measurement end : 2016-07-12collection environment : 342 mobile phone users recruited by an agency to match the demographics of the country of study: SpainTracesettelefonica/mobilephoneuse/MobilePhoneUseDetailed mobile phone use data (events, sensors, emotion self-reports, traits) of 342 people over the course of 342files: mpu.zipdescription: Detailed logs of mobile phone usage of 342 people over the course of ca. 4 weeks. Contains events from 25 physical and virtual sensors (e.g. app in foreground, received notifications, ambient noise level, semantic location, ...), frequent self reports of emotions (valence and arousal), and for some participants self-reported traits (Big 5 Traits, Boredom Proneness [BPS], Patient Health Questionnaire [PHQ8]). Sensors: acceleration, airplane mode, app in foreground, audio, battery, battery drain, cell tower details, data consumption, ambient light, ambient noise, notifications, notification center access, notification dismissed, notifications cleared, device orientation, phone calls, photos, proximity (screen covered or not), screen events (on, off, unlocked), screen orientation (portrait, landscape), semantic location (home, work, ...), sms events, user activity (sitting, in vehicle, ...), wifi details. Details can be found at https://sites.google.com/view/mobile-phone-use-datasetmeasurement purpose: Usage Characterization, Human Behavior Modelingmethodology: This data was collected as part of a dedicated study. Volunteers installed an application onto their phones to collect a wide range of mobile phone use events, sensor data, and self-reports.telefonica/mobilephoneuse/MobilePhoneUse Traces:本数据集收录342名受试者约4周内的手机使用详细日志，涵盖25种物理与虚拟传感器采集的事件（例如前台应用、收到的通知、环境噪音水平、语义化位置等）、高频次情绪自我报告（效价与唤醒度维度），以及部分受试者的自我报告特质数据（大五人格特质（Big 5 Traits）、无聊倾向量表（Boredom Proneness Scale, BPS）、患者健康问卷8项版（Patient Health Questionnaire-8, PHQ-8））。 所涉传感器包括：加速度传感器、飞行模式、前台应用、音频、电池、电池损耗、基站详情、数据流量消耗、环境光照、环境噪音、通知、通知中心访问、通知已关闭、通知已清除、设备朝向、通话、照片、近距离传感器（屏幕是否被遮挡）、屏幕事件（点亮、熄灭、解锁）、屏幕朝向（竖屏、横屏）、语义化位置（家庭、工作场所等）、短信事件、用户活动（久坐、乘车等）、Wi-Fi详情。 详细信息可访问：https://sites.google.com/view/mobile-phone-use-dataset ### 数据集元数据 - 最后修改时间：2019-04-29 - 数据集别名：mobilephoneuse - 所属机构：Telefónica - 发布日期：2019-04-29 - 测量开始时间：2016-04-15 - 测量结束时间：2016-07-12 - 采集环境：由合作机构按照研究所在国（西班牙）的人口统计特征招募342名手机用户作为受试者。 - 数据集文件：位于telefonica/mobilephoneuse/MobilePhoneUse路径下的追踪数据，共342个文件：mpu.zip - 采集目的：手机使用特征刻画、人类行为建模 - 采集方法：本数据集为专项研究的采集成果。受试者在个人手机上安装专用应用程序，以采集各类手机使用事件、传感器数据及自我报告数据。

搜集汇总

背景与挑战

背景概述

该数据集记录了342名西班牙参与者在约4周内的手机使用情况，包含来自25个传感器的详细事件日志（如应用使用、通知、环境数据）以及情绪和特质自报告。数据旨在支持移动设备使用特征化和人类行为建模研究，适用于无线网络和移动计算领域。