Driving assistant using generative AI pre-generated messages in simulator-based driving assessment: A step towards low-cost simulator-based driving assessment
Issued Date
2024-08-30
Resource Type
eISSN
24058440
Scopus ID
2-s2.0-85201255071
Journal Title
Heliyon
Volume
10
Issue
16
Rights Holder(s)
SCOPUS
Bibliographic Citation
Heliyon Vol.10 No.16 (2024)
Suggested Citation
Chanmas G., Taveekitworachai P., You X., Thawonmas R., Nukoolkit C., Dajpratham P. Driving assistant using generative AI pre-generated messages in simulator-based driving assessment: A step towards low-cost simulator-based driving assessment. Heliyon Vol.10 No.16 (2024). doi:10.1016/j.heliyon.2024.e35941 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/100604
Title
Driving assistant using generative AI pre-generated messages in simulator-based driving assessment: A step towards low-cost simulator-based driving assessment
Corresponding Author(s)
Other Contributor(s)
Abstract
This paper presents a novel approach for a low-cost simulator-based driving assessment system incorporating a speech-based assistant, using pre-generated messages from Generative AI to achieve real-time interaction during the assessment. Simulator-based assessment is a crucial apparatus in the research toolkit for various fields. Traditional assessment approaches, like on-road evaluation, though reliable, can be risky, costly, and inaccessible. Simulator-based assessment using stationary driving simulators offers a safer evaluation and can be tailored to specific needs. However, these simulators are often only available to research-focused institutions due to their cost. To address this issue, our study proposes a system with the aforementioned properties aiming to enhance drivers' situational awareness, and foster positive emotional states, i.e., high valence and medium arousal, while assessing participants to prevent subpar performers from proceeding to the next stages of assessment and/or rehabilitation. In addition, this study introduces the speech-based assistant which provides timely guidance adaptable to the ever-changing context of the driving environment and vehicle state. The study's preliminary outcomes reveal encouraging progress, highlighting improved driving performance and positive emotional states when participants are engaged with the assistant during the assessment.