Data preloading technique using intention prediction

Seungyup Lee, Juwan Yoo, Da Young Ju

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Various smart devices provide fast response time and ubiquitous web-environment to users for better user experiences (UXs). However, high device performance that users perceive is not always promised because there should be limited network bandwidth, and computation capabilities. When the network and computation capabilities are overloaded, users experience buffering and loading time to accomplish a certain task. We, therefore, propose data preloading technique [1], which predicts user intention and preloads the web and local application data to provide better device performance in spite of poor network conditions and outdated hardware. We also design intention cognitive model to predict user intention precisely. Four user intention prediction algorithms, which are applicable to various conventional input methods, are described and compared each performance in both user's and device's aspects.

Original languageEnglish
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationApplications and Services - 16th International Conference, HCI International 2014, Proceedings
PublisherSpringer Verlag
Number of pages10
EditionPART 3
ISBN (Print)9783319072265
Publication statusPublished - 2014
Event16th International Conference on Human-Computer Interaction: Applications and Services, HCI International 2014 - Heraklion, Crete, Greece
Duration: 2014 Jun 222014 Jun 27

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume8512 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other16th International Conference on Human-Computer Interaction: Applications and Services, HCI International 2014
CityHeraklion, Crete

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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