Data preloading technique using intention prediction

Seungyup Lee; Juwan Yoo; Da Young Ju

doi:10.1007/978-3-319-07227-2_4

Data preloading technique using intention prediction

Seungyup Lee, Juwan Yoo, Da Young Ju

Yonsei Institute of Convergence Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

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the web and local application data to provide better device performance in spite of poor network conditions and outdated hardware.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 language	English
Title of host publication	Human-Computer Interaction
Subtitle of host publication	Applications and Services - 16th International Conference, HCI International 2014, Proceedings
Publisher	Springer Verlag
Pages	32-41
Number of pages	10
Edition	PART 3
ISBN (Print)	9783319072265
DOIs	https://doi.org/10.1007/978-3-319-07227-2_4
Publication status	Published - 2014
Event	16th International Conference on Human-Computer Interaction: Applications and Services, HCI International 2014 - Heraklion, Crete, Greece Duration: 2014 Jun 22 → 2014 Jun 27

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	8512 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	16th International Conference on Human-Computer Interaction: Applications and Services, HCI International 2014
Country/Territory	Greece
City	Heraklion, Crete
Period	14/6/22 → 14/6/27

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-07227-2_4

Cite this

Lee, S., Yoo, J., & Ju, D. Y. (2014). Data preloading technique using intention prediction. In Human-Computer Interaction: Applications and Services - 16th International Conference, HCI International 2014, Proceedings (PART 3 ed., pp. 32-41). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8512 LNCS, No. PART 3). Springer Verlag. https://doi.org/10.1007/978-3-319-07227-2_4

Lee, Seungyup ; Yoo, Juwan ; Ju, Da Young. / Data preloading technique using intention prediction. Human-Computer Interaction: Applications and Services - 16th International Conference, HCI International 2014, Proceedings. PART 3. ed. Springer Verlag, 2014. pp. 32-41 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

@inproceedings{b2db298d8985487fa91bb6d083f681bb,

title = "Data preloading technique using intention prediction",

abstract = "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.",

author = "Seungyup Lee and Juwan Yoo and Ju, {Da Young}",

year = "2014",

doi = "10.1007/978-3-319-07227-2_4",

language = "English",

isbn = "9783319072265",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

number = "PART 3",

pages = "32--41",

booktitle = "Human-Computer Interaction",

address = "Germany",

edition = "PART 3",

note = "16th International Conference on Human-Computer Interaction: Applications and Services, HCI International 2014 ; Conference date: 22-06-2014 Through 27-06-2014",

}

Lee, S, Yoo, J & Ju, DY 2014, Data preloading technique using intention prediction. in Human-Computer Interaction: Applications and Services - 16th International Conference, HCI International 2014, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 8512 LNCS, Springer Verlag, pp. 32-41, 16th International Conference on Human-Computer Interaction: Applications and Services, HCI International 2014, Heraklion, Crete, Greece, 14/6/22. https://doi.org/10.1007/978-3-319-07227-2_4

Data preloading technique using intention prediction. / Lee, Seungyup; Yoo, Juwan; Ju, Da Young.
Human-Computer Interaction: Applications and Services - 16th International Conference, HCI International 2014, Proceedings. PART 3. ed. Springer Verlag, 2014. p. 32-41 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8512 LNCS, No. PART 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Data preloading technique using intention prediction

AU - Lee, Seungyup

AU - Yoo, Juwan

AU - Ju, Da Young

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84903178448&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84903178448&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-07227-2_4

DO - 10.1007/978-3-319-07227-2_4

M3 - Conference contribution

AN - SCOPUS:84903178448

SN - 9783319072265

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 32

EP - 41

BT - Human-Computer Interaction

PB - Springer Verlag

T2 - 16th International Conference on Human-Computer Interaction: Applications and Services, HCI International 2014

Y2 - 22 June 2014 through 27 June 2014

ER -

Lee S, Yoo J, Ju DY. Data preloading technique using intention prediction. In Human-Computer Interaction: Applications and Services - 16th International Conference, HCI International 2014, Proceedings. PART 3 ed. Springer Verlag. 2014. p. 32-41. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-319-07227-2_4

Data preloading technique using intention prediction

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this