DriveRecap
Video Analysis for Driving Lessons
Description
DriveRecap is an innovative solution designed to enable self-reflection for driving students during practical driving lessons. The aim is for students to independently recognize areas for improvement in their driving behavior. Using video analysis during driving lessons, the software communicates potential improvements, errors, as well as achievements and the development of driving competencies.
Relevance
This bachelor's thesis addresses a current challenge in German driving education: the increasing number of students failing the practical driving test. The study identifies and analyzes three main factors contributing to this issue: communication barriers between instructors and students, increased traffic in cities, and deficiencies in the current driving education curriculum.
Key Issue
One in three driving students in Germany fails the practical driving test. Compared to ten years ago, this rate has increased, indicating that the failure rate may continue to rise. [2]
Objective of this Project
The project aims to create more transparency for driving students by addressing key questions: What design approaches can uncover the causes of problems and individual areas for improvement? How can an application help driving students acquire missing competencies to drive safely and successfully pass the driving test?
Smartphone App for Instructors
Instructors have an app on their smartphone to provide and control videos for students. They can also leave comments, feedback, tags, and ratings to ensure that students only receive the most relevant videos for their driving education.
Infotainment App for Instructors
The application is launched in the vehicle's infotainment system and records visuals, data, and audio during the driving lesson. Instructors can use a remote control to make markings, pause, or stop the recording. The video sequence is then forwarded to the smartphone after the lesson.
Software for Students
On the home screen, students see their current trends in driving maneuvers and the latest awards received. They are guided to exercises, can review the newest driving maneuvers, or continue practicing from the last lesson. For post-lesson review, students can watch video analyses selected and provided by instructors, offering optimal support to improve in the next lesson, avoid mistakes, and continue their development.
Challenges
The project presents design and technical challenges: revealing potentials through video analysis, selecting moments of learning potential without much extra effort, and reducing large data volumes generated by video recordings. And the last question is how design can be utilized to communicate the right information.
Project Process
The project started with an intensive preparation phase, followed by a research phase and market analysis. Concepts were developed using methods such as "How might we?" and creating personas. During the design phase, several concept variants were created and iteratively improved through continuous testing. Special attention was given to the technical implementation, including the development of prototypes and the integration of modern technologies like OBD2 and eye-tracking, focusing on user-friendliness and technical feasibility.
Cameras for Video Analysis
Camera positioning is crucial for later analysis. Since the analysis focuses on the students' perception and operation, it's essential to cover the entire space where students interact with buttons and levers. Additionally, the entire field of view of the students should be recognizable in the video. To understand the driving behavior in the context of the car's immediate surroundings, a bird's-eye view of the car is provided.
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Prototyping
Prototypes were developed after each design sprint to quickly implement ideas, initially placing less emphasis on aesthetics. These prototypes enhanced team communication and mutual understanding. Video material served as the primary medium for analyzing various driving situations and identifying areas for improvement. Practical aspects of driving lessons and theoretical content were integrated into the prototypes using video editing programs, ProtoPie, and machine learning.
Explanatory Video (German Version without Audio)
Video Analysis for Driving Lessons
Ignorance about Misconduct
January 13, 2022
One of the main reasons for choosing video analysis software was that, according to surveys and interviews, the majority of driving students don't know what they did wrong in practical driving lessons. This is mainly because driving instructors, if they provide feedback at all, give vague feedback, and students cannot see themselves.
Errors Not Due to Inattention
December 15, 2021
An intriguing insight from the project was that driving students don't overlook other road users due to inattention, as previously assumed, but rather because they collect too many unrelated pieces of information. This significantly hampers anticipatory driving for beginners.
More Time for Research Saves Time Later
November 26, 2021
In this project, more time was allocated to research at the beginning compared to previous projects. Surprisingly, this led to significant time savings during the project and minimized the need for iteration loops.
creating added value,
through design.
