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PreventDark: Automatically detecting and preventing problematic use of smartphones in darkness

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Published
  • Wenjie Ruan
  • Quan Z. Sheng
  • Lina Yao
  • Nguyen Khoi Tran
  • Yu Chieh Yang
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Publication date14/03/2016
Host publication2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016
PublisherIEEE
Pages1-3
Number of pages3
ISBN (Electronic)9781509019410
<mark>Original language</mark>English
Event13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016 - Sydney, Australia
Duration: 14/03/201618/03/2016

Conference

Conference13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016
Country/TerritoryAustralia
CitySydney
Period14/03/1618/03/16

Conference

Conference13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016
Country/TerritoryAustralia
CitySydney
Period14/03/1618/03/16

Abstract

Smartphone adoption has increased significantly and users can access the Internet, communicate, and entertain themselves anywhere and anytime. However, the negative aspects of smartphone overuse on young adults are being increasingly recognized recently. One such serious problematic usage is peering at brightly lit screens in dark, which can cause sleep loss and resultant health problems. In this paper, we investigate the potential of exploiting sensors embedded in smartphones to detect and prevent such unhealthy habit by measuring the ambient light intensity and detecting the smartphone motion. We implement our system through an Android APP, called PreventDark. We show the feasibility and accuracy of our developed system by experiments on different android smartphones. Field experimental results indicate our system can significantly prevent and decrease the problematic use after intervention with up to 93.6%, particularly in the dark residential environments.