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

Wenjie Ruan, Quan Z. Sheng, Lina Yao, Nguyen Khoi Tran, Yu Chieh Yang

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

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationPerCom Workshops 2016
Subtitle of host publicationIEEE International Conference on Pervasive Computing and Communication Workshops : proceedings
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-3
Number of pages3
ISBN (Electronic)9781509019410
DOIs
Publication statusPublished - 19 Apr 2016
Externally publishedYes
Event13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016 - Sydney, Australia
Duration: 14 Mar 201618 Mar 2016

Other

Other13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016
CountryAustralia
CitySydney
Period14/03/1618/03/16

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