Advancements in Natural Language Processing for Automotive Virtual Assistants Enhancing User Experience and Safety

Authors

Keywords:

Natural Language Processing, Automotive Virtual Assistants, User Experience, Safety, Voice-activated Control, Sentiment Analysis, Predictive Maintenance, Integration

Abstract

Advancements in Natural Language Processing (NLP) have significantly enhanced the capabilities of automotive virtual assistants, revolutionizing user experience and safety in vehicles. This research article explores the integration of NLP technologies in automotive virtual assistants, focusing on improving user interaction and safety features. It covers topics such as voice-activated control systems, sentiment analysis for personalized responses, and NLP-driven predictive maintenance alerts for vehicles. The paper provides insights into the latest developments in NLP for automotive applications and discusses the potential benefits and challenges of integrating these technologies into vehicles.

References

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Published

22-03-2023

How to Cite

[1]
A. Sasidharan Pillai, “Advancements in Natural Language Processing for Automotive Virtual Assistants Enhancing User Experience and Safety”, J. Computational Intel. & Robotics, vol. 3, no. 1, pp. 27–36, Mar. 2023.

Issue

Vol. 3 No. 1 (2023): Journal of Computational Intelligence and Robotics

Section

Articles

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