Understanding Mobile Information Needs and Behaviours

被引:0
|
作者
Khaokaew, Yonchanok [1 ]
Salim, Flora D. [1 ]
Xue, Hao [1 ]
机构
[1] Univ New South Wales, Sch Comp Sci & Engn, Sydney, NSW, Australia
关键词
Mobile User Behaviour Modelling; App Usage Prediction; Large Language Models; Synthetic Data; Clustering;
D O I
10.1145/3594739.3610760
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Smartphones have become an integral part of our daily lives, with an ever-increasing number of users relying on mobile applications to meet their needs. This widespread usage necessitates a deep understanding of how people utilize their devices to develop more effective features. Leveraging context-based information from these devices offers insights into user needs and behaviours. This PhD study focuses on three primary aspects: deciphering context signals to determine user needs, modelling mobile user behaviour based on these signals, and generating synthetic smartphone user patterns. Our goal is to provide invaluable data that can drive the evolution of future mobile applications, further enhancing the user experience.
引用
收藏
页码:210 / 214
页数:5
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