Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)

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Building Evaluation Metrics for Shopping Applications Based on User Experience

Authors
Chao Zhou1, *, Yanyun Yu2, Bolin Li3
1School of Design, Hanyang University, Ansan, Korea
2Innovation School, Glasgow School of Art, Glasgow, UK
3South China Institute of Industrial Technology, Zhejiang University, Guangzhou, China
*Corresponding author. Email: zjjnzc001@hanyang.ac.kr
Corresponding Author
Chao Zhou
Available Online 12 December 2022.
DOI
10.2991/978-94-6463-024-4_4How to use a DOI?
Keywords
AHP hierarchical analysis; shopping app; user experience; evaluation indicators; online shopping
Abstract

As user needs have changed in recent years, previous evaluation methods are no longer applicable to today’s user environment. This study aims to construct a user experience evaluation system for online shopping APPs and improve the efficiency of evaluation. Therefore, this study firstly reviews the current status of relevant research. Secondly, based on the theory of user experience and the characteristics of online shopping, the index elements of user experience evaluation are summarised and refined. Finally, the weights of the indicators at all levels of the user experience evaluation system were constructed using the AHP analysis model through the expert consultation method. Moreover, the consistency test was passed. Finally, a shopping APP user experience evaluation index was established with four primary indicators of interaction efficiency, interface comfort, platform reliability, and platform attractiveness and 16 secondary indicators as the core. The research results will theoretically contribute to the user experience evaluation system of online shopping.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
12 December 2022
ISBN
978-94-6463-024-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-024-4_4How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Chao Zhou
AU  - Yanyun Yu
AU  - Bolin Li
PY  - 2022
DA  - 2022/12/12
TI  - Building Evaluation Metrics for Shopping Applications Based on User Experience
BT  - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
PB  - Atlantis Press
SP  - 30
EP  - 37
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-024-4_4
DO  - 10.2991/978-94-6463-024-4_4
ID  - Zhou2022
ER  -