Proceedings of the 2018 International Seminar on Education Research and Social Science (ISERSS 2018)

Application of Network Big Data on User Experience Application Model

Authors
Chun-Hui Chen, Ke-Jing Li
Corresponding Author
Chun-Hui Chen
Available Online July 2018.
DOI
10.2991/iserss-18.2018.73How to use a DOI?
Keywords
Psychology, Network Big Data, User experience, Research model
Abstract

With the strong representativeness, objectiveness, efficiency, and timeliness, online big data helps companies build the best user experience based on understanding users and continues to bring infinite value to the company. This study starts with the development needs of user experience application under the impact of big data, combines the features of user experience disciplines with the characteristics of big data, and identifies two possible paths for optimizing user experience by big data. Through designing a research model, the study deals with Big Data containing three small loops and a big loop of user experience. The study investigates the data resource challenge of user experience research under network Big Data.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Seminar on Education Research and Social Science (ISERSS 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
July 2018
ISBN
978-94-6252-540-5
ISSN
2352-5398
DOI
10.2991/iserss-18.2018.73How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chun-Hui Chen
AU  - Ke-Jing Li
PY  - 2018/07
DA  - 2018/07
TI  - Application of Network Big Data on User Experience Application Model
BT  - Proceedings of the 2018 International Seminar on Education Research and Social Science (ISERSS 2018)
PB  - Atlantis Press
SP  - 285
EP  - 288
SN  - 2352-5398
UR  - https://doi.org/10.2991/iserss-18.2018.73
DO  - 10.2991/iserss-18.2018.73
ID  - Chen2018/07
ER  -