Towards a More Socially Sustainable Advanced Pilot Training by IntegratingWearable Augmented Reality Devices

For flying all types of turbine-engine airplanes, a pilot must undergo an intense type rating (TR) course. This study investigated the learning conditions and TR course content, and specifies the most difficult course elements that could be tackled by augmented reality (AR) applications. Because women are underrepresented in the worldwide pilot population, it is important to address gender-specific preferences and needs in the development of AR-based wearable technologies for advanced pilot training. A gender-sensitive survey of the learning conditions and course contents was conducted with 31 pilots and 22 instructors. Despite many similarities, the results confirm that there are gender-specific needs and preferences for the development of future AR-based applications for TR training. In addition, the views of both pilots’ and instructors’ are required to obtain a comprehensive assessment of the learning contents and conditions related to TR. The results also show that time pressure increased the perceived difficulty of the course for some trainees. These results are important because they indicate the directions to be taken in developing future AR-based training applications for a more learner-centered and inclusive TR training. Future directions to foster a socially sustainable development of AR-based training means for TR with special focus on gender diversity are presented

Novel Mixed Reality Use Cases for Pilot Training

This study explored novel mixed reality (MR) use cases for pilot training using a mix of methods rooted in the general innovation theory of dynamic capabilities. The aim was to identify areas of improvement for various aspects of the flight training based on MR, in a socially and economically sustainable manner. Multiple surveys and workshops have been conducted with flight instructors, administrative staff, pilots and student pilots. The main result of this study is a systematic identification of the three most promising MR use cases: interactive theory training, cockpit procedure, and outside check training. These results are important because they inform the development of technical didactic tools for pilot training. The applicability of MR technologies to accommodate diverse user needs and preferences is addressed, while also considering aspects of economical sustainability

Die Verwendung von Preisalgorithmen unter Beachtung des europäischen Kartellrechts

Die Masterarbeit befasst sich mit der Verwendung von Preisalgorithmen im Online-Vertrieb. Es wird untersucht, ob und in welchen Fällen de lege lata gegen das Kartellverbot des Art. 101 AEUV verstoßen wird. Ferner wird de lege ferenda erörtert, ob regulative Maßnahmen bei der Verwendung von Preisalgorithmen erforderlich oder zweckmäßig sind

Multimodal Augmented Reality Applications for Training of Traffic Procedures in Aviation

Mid-air collision is one of the top safety risks in general aviation. This study addresses the description and experimental assessment of multimodal Augmented Reality (AR) applications for training of traffic procedures in accordance with Visual Flight Rules (VFR). AR has the potential to complement the conventional flight instruction by bridging the gap between theory and practice, and by releasing students’ time and performance pressure associated with a limited simulator time. However, it is critical to assess the impact of AR in the specific domain and to identify any potential negative learning transfer. Multimodal AR applications were developed to address various areas of training: guidance and feedback for the correct scanning pattern, estimation if an encountering traffic is on collision course and application of the relevant rules. The AR applications also provided performance feedback for collision detection, avoidance and priority decisions. The experimental assessment was conducted with 59 trainees (28 women, 31 men) assigned to an experimental group (AR training) and a control group (simulator training). The results of tests without AR in the flight simulator show that the group that trained with AR obtained similar levels of performance like the control group. There was no negative training effect of AR on trainees’ performance, workload, situational awareness, emotion nor motivation. After training the tasks were perceived as less challenging, the accuracy of collision detection has improved, and the trainees reported less intense negative emotions and fear of failure. Furthermore, a scanning pattern test in AR showed that the AR training group performed the scanning pattern significantly better than the control group. In addition, there was a significant gender effect on emotion, motivation and preferences for AR features, but not on performance. Women liked the voice interaction with AR and the compass hologram more than men. Men liked the traffic holograms and the AR projection field more than women. These results are important because they provide experimental evidence for the benefits of multimodal AR applications that could be used complementary to the flight simulator training

Rigid Polyethylene Terephthalate Packaging Waste: An Investigation of Waste Composition and Its Recycling Potential in Austria

The need for increased recycling of plastic packaging waste (PPW) is apparent from a legal and waste management perspective and, therefore, further waste streams need to be investigated in detail in terms of their recycling potential. Polyethylene terephthalate (PET) PW is already closed-loop recyclable (bottle-to-bottle recycling); however, other rigid PET PW is mainly thermally recovered. Explicit quantitative and qualitative data on rigid PET packaging waste are limited. Therefore, this study investigates the composition and packaging characteristics of rigid PET packaging waste contained in separate waste collection as well as in the mixed PET sorting stream in Austria by conducting a manual sorting analysis. Furthermore, the waste volume is projected, and the recycling potential is extrapolated according to new European recycling rate reporting formats. The results show that approximately 11% of separate collection represents rigid PET packaging waste. Most PW derives from food packaging and is transparent. Contained residues with more than 1% of the total packaging weight might negatively impact the sortability. The applicable net quantity indicator (ALR) amounts to 0.888 at the stage of sorting. The volume of rigid PET PW is extrapolated to 26–36 kt in 2020 with a high-quality recycling rate of 25%, which contributes 2.6% to the Austrian PPW recycling target of 50%