Open AccessSmartphone User Behaviour Predication Using AI
Author(s) -
Mayur Ramesh Chavan,
Akshay Avadhut Kulkarni,
Mohammad Kaif Shakil Mulla,
Ashish Hanmant Mahadik,
Omkar Jagnnath Waghmare,
S V Balshetwar
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.40905
Subject(s) - computer science , human–computer interaction , user experience design , focus (optics) , android (operating system) , competitor analysis , multimedia , user interface , world wide web , physics , management , optics , economics , operating system
There are lots of Smartphone users data floating around which is not efficiently used for improving user experience and which can be used to provide a better user experience or enhance the current one. Enhancing user experience is a challenge as there are multiple competitors. A persons time spend on their Smartphone is an vast amount of time and everyone is trying to reduce this time by implementing efficient ways of android user experience. Starting with our work, which will focus on this user floating data? There are important segments of this user data one of them is facial data because humans are used to taking in non verbal cues from facial emotions. And also we are focusing on factors like user surrounding sound, user’s locations and patterns of application used history.