The Applications and Challenges of Intelligent Driving Assistance Systems in China’s New Energy Vehicle Industry: A Comprehensive Analysis on its User Experience
(2024) INFM10 20241Department of Informatics
- Abstract
- This master thesis will explore the application and challenge of Intelligent Driving Assistance System (IDAS) within China’s New Energy Vehicle (NEV) industry, aiming to identify and address user experience challenges to enhance interaction with smart driving features. Quantatitive research method, by survey and its analysis, is utilized to underscore the importance of user-centric design in developing IDAS. Key findings indicate that while users appreciate the safety and convenience offered by IDAS, concerns remain in system reliability under adverse weather conditions and issues related to privacy and cybersecurity. This master thesis provides practical recommendations to improve IDAS functionalities that focus in enhancing system... (More)
- This master thesis will explore the application and challenge of Intelligent Driving Assistance System (IDAS) within China’s New Energy Vehicle (NEV) industry, aiming to identify and address user experience challenges to enhance interaction with smart driving features. Quantatitive research method, by survey and its analysis, is utilized to underscore the importance of user-centric design in developing IDAS. Key findings indicate that while users appreciate the safety and convenience offered by IDAS, concerns remain in system reliability under adverse weather conditions and issues related to privacy and cybersecurity. This master thesis provides practical recommendations to improve IDAS functionalities that focus in enhancing system reliability, addressing privacy concerns, and ensuring robust cybersecurity measures. These insights may be valuable for manufacturers and policymakers that may contribute for the advancement of user-focused innovations within the NEV industry to promote broader adoption and satisfaction of intelligent driving technologies. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9172499
- author
- Qu, Weihua LU and Yang, Bingshen LU
- supervisor
- organization
- course
- INFM10 20241
- year
- 2024
- type
- H1 - Master's Degree (One Year)
- subject
- language
- English
- id
- 9172499
- date added to LUP
- 2024-08-26 09:04:19
- date last changed
- 2024-08-26 09:04:19
@misc{9172499, abstract = {{This master thesis will explore the application and challenge of Intelligent Driving Assistance System (IDAS) within China’s New Energy Vehicle (NEV) industry, aiming to identify and address user experience challenges to enhance interaction with smart driving features. Quantatitive research method, by survey and its analysis, is utilized to underscore the importance of user-centric design in developing IDAS. Key findings indicate that while users appreciate the safety and convenience offered by IDAS, concerns remain in system reliability under adverse weather conditions and issues related to privacy and cybersecurity. This master thesis provides practical recommendations to improve IDAS functionalities that focus in enhancing system reliability, addressing privacy concerns, and ensuring robust cybersecurity measures. These insights may be valuable for manufacturers and policymakers that may contribute for the advancement of user-focused innovations within the NEV industry to promote broader adoption and satisfaction of intelligent driving technologies.}}, author = {{Qu, Weihua and Yang, Bingshen}}, language = {{eng}}, note = {{Student Paper}}, title = {{The Applications and Challenges of Intelligent Driving Assistance Systems in China’s New Energy Vehicle Industry: A Comprehensive Analysis on its User Experience}}, year = {{2024}}, }