Human-Centered Design of AI-driven Voice Assistants for Autonomous Vehicle Interactions
Cover
PDF

How to Cite

[1]
Dr. Maria Lenstrand, “Human-Centered Design of AI-driven Voice Assistants for Autonomous Vehicle Interactions”, Journal of Bioinformatics and Artificial Intelligence, vol. 3, no. 2, pp. 37–55, Jun. 2024, Accessed: Oct. 05, 2024. [Online]. Available: https://biotechjournal.org/index.php/jbai/article/view/61

Abstract

The development and integration of advanced ground vehicle display and control systems to function as the human-vehicle interface are as important as the development of perception, path-planning algorithms, control, and testing and validation capabilities. The systems must address in-situ display and control requirements while providing a favorable in-cabin physical and artificial environment. Advertising, safety, certification, user performance, and privacy are all important consumer and regulatory issues that have been addressed by numerous studies and governmental reports. While demonstrations at lower levels of automation have shown some promise with respect to safety and consumer acceptance, they did not fully explore all USB requirements.

PDF

References

J. Lu et al., "A Human-Centered AI System for Early Detection of Severe Weather-Related Events," IEEE Transactions on Human-Machine Systems, vol. 49, no. 5, pp. 485-496, Oct. 2019, doi: 10.1109/THMS.2019.2917237.

Y. Xu et al., "Human-Centered Design in Human-Robot Interaction," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 1, pp. 51-63, Jan. 2020, doi: 10.1109/TSMC.2019.2925367.

Tatineni, Sumanth. "Cloud-Based Business Continuity and Disaster Recovery Strategies." International Research Journal of Modernization in Engineering, Technology, and Science5.11 (2023): 1389-1397.

Vemori, Vamsi. "From Tactile Buttons to Digital Orchestration: A Paradigm Shift in Vehicle Control with Smartphone Integration and Smart UI–Unveiling Cybersecurity Vulnerabilities and Fortifying Autonomous Vehicles with Adaptive Learning Intrusion Detection Systems." African Journal of Artificial Intelligence and Sustainable Development3.1 (2023): 54-91.

Shaik, Mahammad, Leeladhar Gudala, and Ashok Kumar Reddy Sadhu. "Leveraging Artificial Intelligence for Enhanced Identity and Access Management within Zero Trust Security Architectures: A Focus on User Behavior Analytics and Adaptive Authentication." Australian Journal of Machine Learning Research & Applications 3.2 (2023): 1-31.

Tatineni, Sumanth. "Security and Compliance in Parallel Computing Cloud Services." International Journal of Science and Research (IJSR) 12.10 (2023): 972-1977.

M. T. Rashid et al., "Human-Centered AI for Smart Transportation Systems," IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 4, pp. 2204-2217, April 2021, doi: 10.1109/TITS.2020.3006565.

R. Murata et al., "Designing Human-Centered AI Systems for Autonomous Vehicles," IEEE Transactions on Industrial Informatics, vol. 17, no. 3, pp. 1801-1813, March 2021, doi: 10.1109/TII.2020.3002058.

L. C. Sheppard et al., "Voice Interaction Design for Autonomous Vehicle Systems," IEEE Transactions on Consumer Electronics, vol. 65, no. 3, pp. 309-320, Aug. 2019, doi: 10.1109/TCE.2019.2910005.

X. Liu et al., "User-Centered Design of AI Voice Assistants for In-Vehicle Interaction," IEEE Transactions on Human-Machine Systems, vol. 49, no. 6, pp. 568-579, Dec. 2019, doi: 10.1109/THMS.2019.2937284.

Y. Zheng et al., "Human-Centered Artificial Intelligence in Autonomous Driving Systems," IEEE Transactions on Intelligent Vehicles, vol. 4, no. 1, pp. 26-38, March 2019, doi: 10.1109/TIV.2018.2883172.

G. C. Huang et al., "Voice-Enabled AI Systems for Enhancing Human-Vehicle Interaction," IEEE Transactions on Vehicular Technology, vol. 69, no. 10, pp. 10583-10595, Oct. 2020, doi: 10.1109/TVT.2020.3012587.

S. Lee et al., "Human-Centered Design Framework for Autonomous Vehicles," IEEE Transactions on Industrial Electronics, vol. 66, no. 4, pp. 3271-3280, April 2019, doi: 10.1109/TIE.2018.2857654.

J. Wang et al., "AI-Driven Voice Interaction Models for Autonomous Vehicles," IEEE Transactions on Cybernetics, vol. 50, no. 12, pp. 5232-5244, Dec. 2020, doi: 10.1109/TCYB.2019.2947232.

M. Stankovic et al., "Human-Centered AI for Enhancing User Experience in Autonomous Vehicles," IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 7, pp. 4123-4134, July 2021, doi: 10.1109/TITS.2020.3001897.

A. R. Pradhan et al., "Designing Voice Assistants for Autonomous Vehicle Interfaces," IEEE Transactions on Consumer Electronics, vol. 66, no. 1, pp. 85-96, Feb. 2020, doi: 10.1109/TCE.2020.2971898.

H. Kim et al., "User-Centered AI Systems for Autonomous Vehicle Safety," IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 3, pp. 1125-1136, March 2020, doi: 10.1109/TITS.2019.2901275.

R. J. Kuo et al., "Human-Centered AI for Enhancing Vehicle Communication Systems," IEEE Transactions on Vehicular Technology, vol. 68, no. 7, pp. 6423-6435, July 2019, doi: 10.1109/TVT.2019.2916420.

P. Gupta et al., "AI Voice Assistants in Human-Machine Interaction for Autonomous Vehicles," IEEE Transactions on Human-Machine Systems, vol. 50, no. 4, pp. 374-386, Aug. 2020, doi: 10.1109/THMS.2020.2981273.

S. W. Smith et al., "Human-Centered AI and UX Design for Autonomous Driving Systems," IEEE Transactions on Intelligent Vehicles, vol. 5, no. 3, pp. 390-402, Sept. 2020, doi: 10.1109/TIV.2020.3001158.

L. Zuo et al., "Voice-Controlled AI Systems in Autonomous Vehicles," IEEE Transactions on Vehicular Technology, vol. 69, no. 5, pp. 5082-5094, May 2020, doi: 10.1109/TVT.2020.2974821.

H. Zhou et al., "AI-Driven Personalization in Voice Assistants for Autonomous Vehicles," IEEE Transactions on Industrial Informatics, vol. 17, no. 2, pp. 1403-1414, Feb. 2021, doi: 10.1109/TII.2020.2991875.

Downloads

Download data is not yet available.