five

CRAWDAD telefonica/mobilephoneuse

收藏
DataCite Commons2022-12-12 更新2025-04-16 收录
下载链接:
https://ieee-dataport.org/open-access/crawdad-telefonicamobilephoneuse
下载链接
链接失效反馈
官方服务:
资源简介:
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:
提供机构:
IEEE DataPort
创建时间:
2022-12-12
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作