@article{TobiasVoelkerGuneschetal.2012,
  author    = {Tobias, Kaufmann and V{\"o}lker, Stefan and Gunesch, Laura and K{\"u}bler, Andrea},
  title     = {Spelling is just a click away - a user-centered brain-computer interface including auto-calibration and predictive text entry},
  doi       = {10.3389/fnins.2012.00072},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-75739},
  year      = {2012},
  abstract  = {Brain-computer interfaces (BCI) based on event-related potentials (ERP) allow for selection of characters from a visually presented character-matrix and thus provide a communica- tion channel for users with neurodegenerative disease. Although they have been topic of research for more than 20 years and were multiply proven to be a reliable communication method, BCIs are almost exclusively used in experimental settings, handled by qualified experts. This study investigates if ERP-BCIs can be handled independently by laymen without expert support, which is inevitable for establishing BCIs in end-user's daily life situations. Furthermore we compared the classic character-by-character text entry against a predictive text entry (PTE) that directly incorporates predictive text into the character- matrix. N = 19 BCI novices handled a user-centered ERP-BCI application on their own without expert support. The software individually adjusted classifier weights and control parameters in the background, invisible to the user (auto-calibration). All participants were able to operate the software on their own and to twice correctly spell a sentence with the auto-calibrated classifier (once with PTE, once without). Our PTE increased spelling speed and, importantly, did not reduce accuracy. In sum, this study demonstrates feasi- bility of auto-calibrating ERP-BCI use, independently by laymen and the strong benefit of integrating predictive text directly into the character-matrix.},
  subject      = {Psychologie},
  language  = {en}
}