Proceedings of the 2025 7th International Conference on Economic Management and Cultural Industry (ICEMCI 2025)

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Tesla Voice Assistant Network Public Opinion Analysis

Authors
Yuhan Gao1, *, Yibo Liu2, Xinyi Miao3
1School of Science, China University of Mining & Technology, Beijing, China
2Institute of Computer and Mathematical Science, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
3School of Business Administration, Henan University of Economics and Law, Zhengzhou, China
*Corresponding author. Email: 22098545d@connect.polyu.hk
Corresponding Author
Yuhan Gao
Available Online 3 December 2025.
DOI
10.2991/978-94-6463-888-2_69How to use a DOI?
Keywords
Tesla; Voice Assistant; User Reviews
Abstract

As a benchmark in the field of new energy vehicles and intelligent technology, Tesla’s voice assistant encountered significant bottlenecks when entering the domestic market. At present, although most users acknowledge that the voice assistant can provide stable responses to basic commands, they also point out many obvious shortcomings, such as insufficient scalability of functions, easy system crashes during operation, and limited execution of some complex instructions due to hardware performance constraints. In response to these issues, this article specifically proposes a phased improvement plan. Short term focus on unleashing the potential of core functions to ensure smooth basic experience; Mid term efforts will be made to enhance spatial adaptability and meet the diverse needs of various scenarios; Long term planning for overall architecture upgrade, laying the foundation for future development. At the same time, focus on balancing technological innovation and user experience throughout the process, optimizing communication logic and data processing, comprehensively enhancing entertainment interaction experience, and building differentiated competitive advantages.

Copyright
© 2025 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 2025 7th International Conference on Economic Management and Cultural Industry (ICEMCI 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
3 December 2025
ISBN
978-94-6463-888-2
ISSN
2352-5428
DOI
10.2991/978-94-6463-888-2_69How to use a DOI?
Copyright
© 2025 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  - Yuhan Gao
AU  - Yibo Liu
AU  - Xinyi Miao
PY  - 2025
DA  - 2025/12/03
TI  - Tesla Voice Assistant Network Public Opinion Analysis
BT  - Proceedings of the 2025 7th International Conference on Economic Management and Cultural Industry (ICEMCI 2025)
PB  - Atlantis Press
SP  - 721
EP  - 731
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-888-2_69
DO  - 10.2991/978-94-6463-888-2_69
ID  - Gao2025
ER  -