• DocumentCode
    188087
  • Title

    RemindMe: An Enhanced Mobile Location-Based Reminder Application

  • Author

    Ertugrul, Ali Mert ; Onal, Itir

  • Author_Institution
    Dept. of Inf. Syst., Middle East Tech. Univ., Ankara, Turkey
  • fYear
    2014
  • fDate
    27-29 Aug. 2014
  • Firstpage
    425
  • Lastpage
    430
  • Abstract
    In this study, a location based reminder application RemindMe, enhanced with various location tagging options using social networking APIs is proposed. Main purpose of this application is to allow users to create reminders based on the location besides time and to notify users with those reminders automatically. In terms of ease of use, a hybrid structure consisting of various components is formed for location tagging. First of all, the user tags the locations using the applications such as Google Maps or Foursquare or via the embedded sensors of the Android device. Then, he creates reminders for the tagged locations and when he gets close to this location, the system notifies the user. Our application is separated from similar applications with its enhanced location tagging feature. Moreover, by consisting of various services, it is open to innovations on the way to become a social reminder application. The usability test results indicate that RemindMe is an effective location based reminder application.
  • Keywords
    Android (operating system); application program interfaces; mobile computing; social networking (online); Android device embedded sensors; Foursquare; Google Maps; RemindMe; location tagging options; mobile location-based reminder application; social networking APIs; social reminder application; Androids; Global Positioning System; Google; Humanoid robots; IEEE 802.11 Standards; Sensors; Tagging; Foursquare; Google Maps; location based reminder;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Internet of Things and Cloud (FiCloud), 2014 International Conference on
  • Conference_Location
    Barcelona
  • Type

    conf

  • DOI
    10.1109/FiCloud.2014.76
  • Filename
    6984232