Research Project “Age-Appropriate Behavior”

We are collaborating with Continental to explore the concept of “level-appropriate behavior.” Identifying and monitoring safety-critical situations poses challenges for drivers, especially when there are frequent transitions between fully automated, partially automated, and manual driving.

The goal is to clearly show drivers which level of automation they are currently in and how they should respond. To this end, we are developing a virtual co-pilot that explains the test scenario, answers questions, and is available throughout the drive. Our AI provides support, particularly when switching between autonomous driving levels. 

KARLI Research Project: "Motion Sickness" Subproject

Together with the Ford Motor Company, we are investigating the topic of “motion sickness.” This term refers to a condition that most people have experienced firsthand: nausea, dizziness, or headaches. The effect is particularly pronounced when reading in a car, as this causes a significant discrepancy between the sense of balance and visual perception. Motion sickness is more likely to occur in an automated vehicle. The goal is therefore to develop AI algorithms and HMI (human-machine interface) systems capable of recognizing motion sickness in specific situations and reducing or even preventing its occurrence.

For research purposes, we developed both the voice prompts and several visual elements. Here, test drivers are encouraged to perform various driving maneuvers or respond to different situations—for example, by looking out the window, reading something, and reporting how they feel. Our voice assistant SUSI interacts with the test drivers at regular intervals to determine their motion sickness level. The test results are then analyzed and provide insights into factors such as the effects of the surrounding environment.

Natural Language Understanding (NLU)

With NLU, data can be analyzed and its meaning determined by algorithms by reducing human language to a structured ontology—a data model consisting of semantic and pragmatic definitions. The two fundamental concepts of NLU are intent recognition and entity recognition.

Artificial Intelligence (AI)

Simply put, artificial intelligence (AI) is the ability of a computer or machine to mimic the capabilities of the human mind. It learns from past experiences to understand language, make decisions, and solve problems, and to respond accordingly.

Large amounts of data are often used to train AI and develop algorithms that enable these capabilities. Various AI capabilities, such as computer vision and user interfaces, are integrated into many standard business processes across industries such as retail, finance, healthcare, and high-tech.

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