@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}
}
@article{JinAllisonKaufmannetal.2012,
  author    = {Jin, Jing and Allison, Brendan Z. and Kaufmann, Tobias and K{\"u}bler, Andrea and Zhang, Yu and Wang, Xingyu and Cichocki, Andrzej},
  title     = {The Changing Face of P300 BCIs: A Comparison of Stimulus Changes in a P300 BCI Involving Faces, Emotion, and Movement},
  series = {PLoS One},
  volume    = {7},
  journal   = {PLoS One},
  number    = {11},
  doi       = {10.1371/journal.pone.0049688},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-134173},
  pages     = {e49688},
  year      = {2012},
  abstract  = {Background: One of the most common types of brain-computer interfaces (BCIs) is called a P300 BCI, since it relies on the P300 and other event-related potentials (ERPs). In the canonical P300 BCI approach, items on a monitor flash briefly to elicit the necessary ERPs. Very recent work has shown that this approach may yield lower performance than alternate paradigms in which the items do not flash but instead change in other ways, such as moving, changing colour or changing to characters overlaid with faces. Methodology/Principal Findings: The present study sought to extend this research direction by parametrically comparing different ways to change items in a P300 BCI. Healthy subjects used a P300 BCI across six different conditions. Three conditions were similar to our prior work, providing the first direct comparison of characters flashing, moving, and changing to faces. Three new conditions also explored facial motion and emotional expression. The six conditions were compared across objective measures such as classification accuracy and bit rate as well as subjective measures such as perceived difficulty. In line with recent studies, our results indicated that the character flash condition resulted in the lowest accuracy and bit rate. All four face conditions (mean accuracy >91\%) yielded significantly better performance than the flash condition (mean accuracy = 75\%). Conclusions/Significance: Objective results reaffirmed that the face paradigm is superior to the canonical flash approach that has dominated P300 BCIs for over 20 years. The subjective reports indicated that the conditions that yielded better performance were not considered especially burdensome. Therefore, although further work is needed to identify which face paradigm is best, it is clear that the canonical flash approach should be replaced with a face paradigm when aiming at increasing bit rate. However, the face paradigm has to be further explored with practical applications particularly with locked-in patients.},
  language  = {en}
}