@article{OberdoerferLatoschik2019,
  author    = {Oberd{\"o}rfer, Sebastian and Latoschik, Marc Erich},
  title     = {Knowledge encoding in game mechanics: transfer-oriented knowledge learning in desktop-3D and VR},
  series = {International Journal of Computer Games Technology},
  volume    = {2019},
  journal   = {International Journal of Computer Games Technology},
  doi       = {10.1155/2019/7626349},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-201159},
  pages     = {7626349},
  year      = {2019},
  abstract  = {Affine Transformations (ATs) are a complex and abstract learning content. Encoding the AT knowledge in Game Mechanics (GMs) achieves a repetitive knowledge application and audiovisual demonstration. Playing a serious game providing these GMs leads to motivating and effective knowledge learning. Using immersive Virtual Reality (VR) has the potential to even further increase the serious game's learning outcome and learning quality. This paper compares the effectiveness and efficiency of desktop-3D and VR in respect to the achieved learning outcome. Also, the present study analyzes the effectiveness of an enhanced audiovisual knowledge encoding and the provision of a debriefing system. The results validate the effectiveness of the knowledge encoding in GMs to achieve knowledge learning. The study also indicates that VR is beneficial for the overall learning quality and that an enhanced audiovisual encoding has only a limited effect on the learning outcome.},
  language  = {en}
}
@article{KueblerHolzRiccioetal.2014,
  author    = {K{\"u}bler, Andrea and Holz, Elisa M. and Riccio, Angela and Zickler, Claudia and Kaufmann, Tobias and Kleih, Sonja C. and Staiger-S{\"a}lzer, Pit and Desideri, Lorenzo and Hoogerwerf, Evert-Jan and Mattia, Donatella},
  title     = {The User-Centered Design as Novel Perspective for Evaluating the Usability of BCI-Controlled Applications},
  doi       = {10.1371/journal.pone.0112392},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-111051},
  year      = {2014},
  abstract  = {Albeit research on brain-computer interfaces (BCI) for controlling applications has expanded tremendously, we still face a translational gap when bringing BCI to end-users. To bridge this gap, we adapted the user-centered design (UCD) to BCI research and development which implies a shift from focusing on single aspects, such as accuracy and information transfer rate (ITR), to a more holistic user experience. The UCD implements an iterative process between end-users and developers based on a valid evaluation procedure. Within the UCD framework usability of a device can be defined with regard to its effectiveness, efficiency, and satisfaction. We operationalized these aspects to evaluate BCI-controlled applications. Effectiveness was regarded equivalent to accuracy of selections and efficiency to the amount of information transferred per time unit and the effort invested (workload). Satisfaction was assessed with questionnaires and visual-analogue scales. These metrics have been successfully applied to several BCI-controlled applications for communication and entertainment, which were evaluated by end-users with severe motor impairment. Results of four studies, involving a total of N = 19 end-users revealed: effectiveness was moderate to high; efficiency in terms of ITR was low to high and workload low to medium; depending on the match between user and technology, and type of application satisfaction was moderate to high. The here suggested evaluation metrics within the framework of the UCD proved to be an applicable and informative approach to evaluate BCI controlled applications, and end-users with severe impairment and in the locked-in state were able to participate in this process.},
  language  = {en}
}
@article{HoehneHolzStaigerSaelzeretal.2014,
  author    = {H{\"o}hne, Johannes and Holz, Elisa and Staiger-S{\"a}lzer, Pit and M{\"u}ller, Klaus-Robert and K{\"u}bler, Andrea and Tangermann, Michael},
  title     = {Motor Imagery for Severely Motor-Impaired Patients: Evidence for Brain-Computer Interfacing as Superior Control Solution},
  series = {PLoS ONE},
  volume    = {9},
  journal   = {PLoS ONE},
  number    = {8},
  doi       = {10.1371/journal.pone.0104854},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-119331},
  pages     = {e104854},
  year      = {2014},
  abstract  = {Brain-Computer Interfaces (BCIs) strive to decode brain signals into control commands for severely handicapped people with no means of muscular control. These potential users of noninvasive BCIs display a large range of physical and mental conditions. Prior studies have shown the general applicability of BCI with patients, with the conflict of either using many training sessions or studying only moderately restricted patients. We present a BCI system designed to establish external control for severely motor-impaired patients within a very short time. Within only six experimental sessions, three out of four patients were able to gain significant control over the BCI, which was based on motor imagery or attempted execution. For the most affected patient, we found evidence that the BCI could outperform the best assistive technology (AT) of the patient in terms of control accuracy, reaction time and information transfer rate. We credit this success to the applied user-centered design approach and to a highly flexible technical setup. State-of-the art machine learning methods allowed the exploitation and combination of multiple relevant features contained in the EEG, which rapidly enabled the patients to gain substantial BCI control. Thus, we could show the feasibility of a flexible and tailorable BCI application in severely disabled users. This can be considered a significant success for two reasons: Firstly, the results were obtained within a short period of time, matching the tight clinical requirements. Secondly, the participating patients showed, compared to most other studies, very severe communication deficits. They were dependent on everyday use of AT and two patients were in a locked-in state. For the most affected patient a reliable communication was rarely possible with existing AT.},
  language  = {en}
}
@inproceedings{EppleeLangbehn2021,
  author    = {Eppl{\´e}e, Rafael and Langbehn, Eike},
  title     = {Overlapping Architecture: Implementation of Impossible Spaces in Virtual Reality Games},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-246045},
  pages     = {37-46},
  year      = {2021},
  abstract  = {Natural walking in virtual reality games is constrained by the physical boundaries defined by the size of the player's tracking space. Impossible spaces, a redirected walking technique, enlarge the virtual environment by creating overlapping architecture and letting multiple locations occupy the same physical space. Within certain thresholds, this is subtle to the player. In this paper, we present our approach to implement such impossible spaces and describe how we handled challenges like objects with simulated physics or precomputed global illumination.},
  language  = {en}
}