Blar i NTNU Open på forfatter "Reshodko, Irina"
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Explaining Traffic Situations – Architecture of a Virtual Driving Instructor
Sandberg, Martin K. Hoel; Rehm, Johannes; Mnoucek, Matej; Gundersen, Odd Erik; Reshodko, Irina (Peer reviewed; Journal article, 2020)Intelligent tutoring systems become more and more common in assisting human learners. Distinct advantages of intelligent tutoring systems are personalized teaching tailored to each student, on-demand availability not ... -
A virtual driving instructor that assesses driving performance on par with human experts
Rehm, Johannes; Reshodko, Irina; Gundersen, Odd Erik (Journal article; Peer reviewed, 2024)The advent of virtual driving instructors has the potential to revolutionize driver education by providing real-time, unbiased feedback to learner drivers. This paradigm shift aims to mitigate the innate subjectivity ... -
A Virtual Driving Instructor That Generates Personalized Driving Lessons Based on Student Skill Level
Bjørnland, Johan Fredrik; Gedde, Yrjar; Rehm, Johannes; Reshodko, Irina; Gundersen, Odd Erik (Peer reviewed; Journal article, 2024)Currently, students acquire driving skills by practicing in actual traffic conditions and through direct interactions with an instructor. While one-on-one interactions could be tailored to a student’s learning style and ... -
The Virtual Driving Instructor: Multi-Agent System Collaborating via Knowledge Graph for Scalable Driver Education
Rehm, Johannes; Reshodko, Irina; Børresen, Stian Zimmermann; Gundersen, Odd Erik (Peer reviewed; Journal article, 2024)This paper introduces the design, development, and deployment of a Virtual Driving Instructor (VDI) for enhanced driver education. The VDI provides personalized, real-time feedback to students in a driving simulator, ...