Cognitive Load and Augmented Reality

Background:

While the numerous advantages of using Augmented Reality (AR) and Virtual Reality (VR) are often discussed, it is becoming increasingly necessary to address the negative aspects. To understand the aspect of mental overload, we are conducting an Augmented Reality experiment involving an assembly process. Various parameters, such as eye-tracking and performance data, will be recorded and compared. The dataset will be used in this Master's thesis for a machine learning algorithm that predicts cognitive load based on recorded pupil data, heart rate variability, and electrodermal activity (EDA).

Your Benefits:

The opportunity to actively participate in the chair's research projects and to publish your achieved results. The possibility for personal development in an inspiring research environment and the active shaping of current research topics of high scientific relevance. The topic is also characterized by an above-average level of practical relevance.

• Currently pursuing a scientific university degree (Master's degree in fields such as Business Informatics, Computer Science, Business Administration, or related subjects)
• Enjoyment of conceptual and independent work, as well as the ability to quickly familiarize oneself with new areas
• Good self-organization and reliable work habits
• Experience with the use of statistical methods
• Prior knowledge of programming
• Good written English, as the work is to be written in English