Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)

<Previous Article In Volume
Next Article In Volume>

Evaluation Method for the Maturity Levels of Augmented Reality Industries

Authors
Huili Liu1, Dong Yao1, *, Yan Lu1, Shu Zou1, Tiange Shen1, Xiaoyu Liu1
1Department of User and Market Research, China Mobile Research Institute, Beijing, 100032, China
*Corresponding author. Email: yaodong@chinamobile.com
Corresponding Author
Dong Yao
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-040-4_219How to use a DOI?
Keywords
Assessment method; Industry maturity level; Emerging industry; Augmented Reality
Abstract

Development of an industry follows an objective cyclical law that is an inevitable progression from technological and manufacturing maturity to a developed market for new products. With the development of augmented reality (AR) technology, the more and more strategic emerging industries are developing rapidly in the field of AR and we need the AR industry maturity evaluation method to provide scientific decision-making support for the development of the industry. This paper applies the industrial maturity evaluation method to the AR field, constructs the AR industrial maturity evaluation system from the perspective of product and market, and gives the maturity grade and its evaluation standard. The research shows that the AR industry is still in the cultivation period. It is necessary to improve the manufacturing maturity and technology maturity in terms of products and cultivate consumer habits in terms of market.

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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-040-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-040-4_219How 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  - Huili Liu
AU  - Dong Yao
AU  - Yan Lu
AU  - Shu Zou
AU  - Tiange Shen
AU  - Xiaoyu Liu
PY  - 2022
DA  - 2022/12/27
TI  - Evaluation Method for the Maturity Levels of Augmented Reality Industries
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 1469
EP  - 1476
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_219
DO  - 10.2991/978-94-6463-040-4_219
ID  - Liu2022
ER  -