Applied and Computational Engineering

- The Open Access Proceedings Series for Conferences

Proceedings of the 5th International Conference on Computing and Data Science

Series Vol. 17 , 23 October 2023

Open Access | Article

The application of WeChat navigation assistant

Yiming Zhang * 1
1 China University of Geosciences

* Author to whom correspondence should be addressed.

Applied and Computational Engineering, Vol. 17, 41-44
Published 23 October 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Yiming Zhang. The application of WeChat navigation assistant. ACE (2023) Vol. 17: 41-44. DOI: 10.54254/2755-2721/17/20230909.


The field of artificial intelligence and deep learning has made significant progress in recent years, with the development of innovative techniques and technologies that have the potential to improve various aspects of human life. However, the elderly population faces significant challenges when it comes to utilizing electronic devices, as the demand for convenient and easy-to-use products in their daily lives remains unmet. To address this challenge, this paper proposes the design of a software solution, consisting of four key components. Firstly, the software application is simulated, and the process of software operation when the elderly use WeChat is modeled. Secondly, automatic speech recognition technology is utilized to enhance the usability of WeChat for the elderly. Thirdly, a dataset is created for data collection, processing, and analysis, with the aim of constantly improving the software. Finally, evaluation methods such as formative and summative evaluations are utilized to assess and enhance the effectiveness of the software. The proposed software solution has the potential to significantly improve the quality of life of the elderly population by enabling them to better access and utilize electronic devices. Moreover, the incorporation of automatic speech recognition technology and data analysis for continuous improvement has the potential to contribute to the advancement of the field of artificial intelligence and deep learning. Further research should focus on refining the software solution to better cater to the specific needs of the elderly population.


WeChat, machine learning, artificial intelligence


1. Holzinger A Langs G Denk H et al. 2019 Causability and explainability of artificial intelligence in medicine Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9(4): e1312.

2. McCarthy J Hayes P J 1981 Some philosophical problems from the standpoint of artificial intelligence Readings in artificial intelligence. Morgan Kaufmann 431-450.

3. Zhang R Zou D Cheng G 2023 A review of chatbot-assisted learning: pedagogical approaches, implementations, factors leading to effectiveness, theories, and future directions Interactive Learning Environments 1-29.

4. Baghaei A Alipour N Abbaszadeh P 2023 et al. Identifying and combating the Covid-19 pandemic using Artificial Intelligence Tobacco Regulatory Science (TRS) 313-330.

5. Qiu Y Wang J Jin Z et al. 2022 Pose-guided matching based on deep learning for assessing quality of action on rehabilitation training Biomedical Signal Processing and Control 72 103323.

6. Shafiq M Du C Jamal N et al 2023 Smart E-Health System for Heart Disease Detection Using Artificial Intelligence and Internet of Things Integrated Next-Generation Sensor Networks Journal of Sensors.

7. Ma S Liu J Li W et al. 2023 Machine learning in TCM with natural products and molecules: current status and future perspectives Chinese Medicine 18(1): 1-17.

8. Alsaade F W Al-Adhaileh M H 2023 Cyber Attack Detection for Self-Driving Vehicle Networks Using Deep Autoencoder Algorithms Sensors 23(8): 4086.

9. Wang F Y Zhang J J Zheng X et al. 2016 Where does AlphaGo go: From church-turing thesis to AlphaGo thesis and beyond IEEE/CAA Journal of Automatica Sinica 3(2): 113-120.

10. Li F Du Y 2018 From AlphaGo to power system AI: What engineers can learn from solving the most complex board game IEEE Power and Energy Magazine 16(2): 76-84.

11. Fu M C 2016 AlphaGo and Monte Carlo tree search: the simulation optimization perspective 2016 Winter Simulation Conference (WSC) IEEE 659-670.

12. Juang B H Rabiner L R 2005 Automatic speech recognition–a brief history of the technology development Georgia Institute of Technology Atlanta Rutgers University and the University of California. Santa Barbara 1: 67.

13. O’Shaughnessy D 2008 Automatic speech recognition: History, methods and challenges Pattern Recognition 41(10): 2965-2979.

14. Cutajar M Gatt E Grech I et al. 2013 Comparative study of automatic speech recognition techniques IET Signal Processing 7(1): 25-46.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors who publish this series agree to the following terms:

1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.

2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.

3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open Access Instruction).

Volume Title
Proceedings of the 5th International Conference on Computing and Data Science
ISBN (Print)
ISBN (Online)
Published Date
23 October 2023
Applied and Computational Engineering
ISSN (Print)
ISSN (Online)
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated