@inproceedings{UllmannKreimeierGoetzelmannetal.2020, author = {Ullmann, Daniela and Kreimeier, Julian and G{\"o}tzelmann, Timo and Kipke, Harald}, title = {BikeVR : a virtual reality bicycle simulator towards sustainable urban space and traffic planning}, series = {Proceedings of Mensch und Computer 2020}, booktitle = {Proceedings of Mensch und Computer 2020}, publisher = {Association for Computing Machinery}, address = {New York, NY}, isbn = {978-1-4503-7540-5}, doi = {10.1145/3404983.3410417}, pages = {511-514}, year = {2020}, abstract = {While becoming more and more aware of the ongoing climate change, eco-friendly means of transport for all citizens are moving further into focus. In order to be able to implement specific measures, it is necessary to better understand and emphasize sustainable transportation like walking and cycling through focused research. When developing novel traffic concepts and urban spaces for non-motorized traffic participants like bicycles and pedestrians, traffic and urban planning must be focused on their needs. To provide rare qualitative factors (such as stress, the perception of time and attractiveness of the environment) in this context, we present an audiovisual VR bicycle simulator which allows the user to cycle through a virtual urban environment by physically pedaling and also steering. Virtual Reality (VR) is a suitable tool in this context, as study participants find identical and almost freely definable (virtual) urban spaces with adjustable traffic scenarios. Our preliminary prototype proved to be promising and will be further optimized and evaluated.}, language = {en} } @inproceedings{KreimeierUllmannKipkeetal.2020, author = {Kreimeier, Julian and Ullmann, Daniela and Kipke, Harald and G{\"o}tzelmann, Timo}, title = {Initial Evaluation of Different Types of Virtual Reality Locomotion Towards a Pedestrian Simulator for Urban and Transportation Planning}, series = {Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems}, booktitle = {Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems}, publisher = {ACM}, address = {New York, NY, USA}, doi = {10.1145/3334480.3382958}, pages = {1 -- 6}, year = {2020}, abstract = {The simulation of human behaviour in today's travel demand models is usually based on the assumption of a rational behaviour of its participants. Since travel demand models have been applied in particular for motorized traffic, only little is known about the influence of variables that affect both the choice of trip destination and the route decision in pedestrian and cycling models. In order to create urban spaces that encourage cycling and walking, we propose a VR (Virtual Reality) pedestrian simulator which involves walk-in-place locomotion. Thus, identical conditions are obtained for all subjects which is not feasible in real world field research with naturally varying environmental influences. As a first step, our qualitative and quantitative user study revealed that walking in a VR treadmill felt safest and most intuitive, although walking in it took in return more energy than walking-in-place with VR trackers only.}, language = {en} }