MeDJ: Multidimensional emotion-aware music delivery for adolescent

Xiping Hu, Kun Bai, Jun Cheng, Jun Qi Deng, Yanxiang Guo, Bin Hu, Arun Sai Krishnan, Fei Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Citations (Scopus)

Abstract

Music listening is an integral part of many adolescents' everyday lives, but it is also a time when adolescents are uniquely vulnerable. Emotional-oriented and avoidance through listening to unsuitable music may bring negative emotion to adolescents and increase the level of their depression. We propose MeDJ, a multidimensional emotion-aware music delivery application, which turns adolescents' music listening into a health and pleasure way. MeDJ aims at helping adolescents to improve emotional management and prevent depression. It is built on a cloud-based platform that enables adolescents and their peers collaboratively recommend suitable music to each other through smartphones. Prototype implementation and initial results of MeDJ have demonstrated its practicability for real-world deployment.

Original languageEnglish
Title of host publication26th International World Wide Web Conference 2017, WWW 2017 Companion
PublisherInternational World Wide Web Conferences Steering Committee
Pages793-794
Number of pages2
ISBN (Electronic)9781450349147
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event26th International World Wide Web Conference, WWW 2017 Companion - Perth, Australia
Duration: 3 Apr 20177 Apr 2017

Publication series

Name26th International World Wide Web Conference 2017, WWW 2017 Companion

Conference

Conference26th International World Wide Web Conference, WWW 2017 Companion
Country/TerritoryAustralia
CityPerth
Period3/04/177/04/17

Keywords

  • Cloud
  • Emotion-aware
  • Mobile health application

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