Management of non-behavioral tasks via auto reminder and notifier
The revolutionary advent of technology has seamlessly integrated usage of smart gadgets and social media in our existing workflow practices thereby making schedule of every other individual quite tiring and packed. As a result, we often fail to remember essential tasks, to-do list, important meeting...
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Published in: | 2018 International Conference on Advancements in Computational Sciences (ICACS) pp. 1 - 6 |
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Main Authors: | , , , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
01-02-2018
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Subjects: | |
Online Access: | Get full text |
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Summary: | The revolutionary advent of technology has seamlessly integrated usage of smart gadgets and social media in our existing workflow practices thereby making schedule of every other individual quite tiring and packed. As a result, we often fail to remember essential tasks, to-do list, important meetings and assignments. One way is to create manual reminders and getting notifications accordingly; but this needs human intervention. This work presents a more promising approach for design and development of a smart android app that will access SMS's consisting of useful information for creating reminders and notifications irrespective of any human involvement. It will be of paramount interest for users to get reminded and notified about expiry dates of availed mobile tariffs, upcoming meetings and significant activities. This app can parse messages sent by friends, family and co-workers and auto schedule reminders if arrived messages contain any useful schedulable information. In addition, this app can also process emails received through Gmail, and Messages received via Facebook and WhatsApp. This app is incredibly customizable according to user preferences and has option to decide when and if the user should get notified. As a part of user testing an initial version of this smart app was uploaded to Google Play store. End-user response was measured in terms of reviews, ratings and app downloads as discussed in results section. |
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DOI: | 10.1109/ICACS.2018.8333278 |