@misc{FazelRezaiAllisonGugeretal.2012,
  author    = {Fazel-Rezai, Reza and Allison, Brendan Z. and Guger, Christoph and Sellers, Eric W. and Kleih, Sonja C. and K{\"u}bler, Andrea},
  title     = {P300 brain computer interface: current challenges and emerging trends},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-75941},
  year      = {2012},
  abstract  = {A brain-computer interface (BCI) enables communication without movement based on brain signals measured with electroencephalography (EEG). BCIs usually rely on one of three types of signals: the P300 and other components of the event-related potential (ERP), steady state visual evoked potential (SSVEP), or event related desynchronization (ERD). Although P300 BCIs were introduced over twenty years ago, the past few years have seen a strong increase in P300 BCI research. This closed-loop BCI approach relies on the P300 and other components of the ERP, based on an oddball paradigm presented to the subject. In this paper, we overview the current status of P300 BCI technology, and then discuss new directions: paradigms for eliciting P300s; signal processing methods; applications; and hybrid BCIs. We conclude that P300 BCIs are quite promising, as several emerging directions have not yet been fully explored and could lead to improvements in bit rate, reliability, usability, and flexibility.},
  subject      = {Psychologie},
  language  = {en}
}
@article{ZhouAllisonKuebleretal.2016,
  author    = {Zhou, Sijie and Allison, Brendan Z. and K{\"u}bler, Andrea and Cichocki, Andrzej and Wang, Xingyu and Jin, Jing},
  title     = {Effects of Background Music on Objective and Subjective Performance Measures in an Auditory BCI},
  series = {Frontiers in Computational Neuroscience},
  volume    = {10},
  journal   = {Frontiers in Computational Neuroscience},
  number    = {105},
  doi       = {10.3389/fncom.2016.00105},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-165101},
  year      = {2016},
  abstract  = {Several studies have explored brain computer interface (BCI) systems based on auditory stimuli, which could help patients with visual impairments. Usability and user satisfaction are important considerations in any BCI. Although background music can influence emotion and performance in other task environments, and many users may wish to listen to music while using a BCI, auditory, and other BCIs are typically studied without background music. Some work has explored the possibility of using polyphonic music in auditory BCI systems. However, this approach requires users with good musical skills, and has not been explored in online experiments. Our hypothesis was that an auditory BCI with background music would be preferred by subjects over a similar BCI without background music, without any difference in BCI performance. We introduce a simple paradigm (which does not require musical skill) using percussion instrument sound stimuli and background music, and evaluated it in both offline and online experiments. The result showed that subjects preferred the auditory BCI with background music. Different performance measures did not reveal any significant performance effect when comparing background music vs. no background. Since the addition of background music does not impair BCI performance but is preferred by users, auditory (and perhaps other) BCIs should consider including it. Our study also indicates that auditory BCIs can be effective even if the auditory channel is simultaneously otherwise engaged.},
  language  = {en}
}