Master Thesis

From day to day navigation tasks become more complicated and stressful. One promising technology supporting driver safety and providing good user experience is augmented reality. This thesis develops and evaluates innovative augmented reality concepts for navigation tasks.

This project investigates the comparability of eye-tracking data in the real world, as well as in virtual reality in the context of visual body perception. Highlighting the differences in gaze behavior between both fields is important for the use of eye-tracking in future virtual reality applications.

Does a crossmedial assembly assistance system - combining smart glasses and tablet computer - facilitate procedural instructions for a manual bike part assembly? A prototype system was built and evaluated to examine synergy effects of the devices.

Immersive technologies offer effective facilitators for effective and sustainable behavioral change - an example: "I feel that I can do it in VR, so I can do it in reality" (high feeling of effectiveness and control). VR can, for instance, be used as a new and innovative intervention to reduce the attitude-behavior gap. By altering the perspective and/or the interactivity, the individual feeling of effectiveness and thus the individual environmental behavior should be strengthened. 

In the future, autonomous vehicles will enable motorists to no longer have to concentrate on traffic. As passengers, former car drivers will be able to use their time while driving for other purposes, such as the consumption of media content. This thesis deals with the possible application of technologies and methods from the research area of virtual reality (VR) in an autonomous driving vehicle.

In this thesis an interactive carbon footprint calculator is developed, which gives users immersive feedback about their carbon dioxide emission. Besides calculating the individual carbon footprint, changes for future pro-environmental actions are designed.

Attention A.I. helps to manage drivers’ attention between the joyful experience of watching a video on a head-up display and the safety of monitoring the driving environment in automated vehicles. The system predicts when drivers are likely to switch their attention due to events outside of the vehicle by using machine learning and compares them with the actual behaviour to decide if an intervention is necessary.

Research goal of this project is to examine whether the extension of interactivity in a 360 degree video has a positive effect on credibility, story recall and story sharing intention. Interactive Elements such as info hotspots and scene switch buttons were designed following the MAIN Model by Sundar (2008), which proposes a heuristic approach of understanding credibility of digital media.