Spelling is just a click away – a user-centered brain-computer interface including auto-calibration and predictive text entry
Zitieren Sie bitte immer diese URN: urn:nbn:de:bvb:20-opus-75739
- 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,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.…
Autor(en): | Kaufmann Tobias, Stefan Völker, Laura Gunesch, Andrea Kübler |
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URN: | urn:nbn:de:bvb:20-opus-75739 |
Dokumentart: | Artikel / Aufsatz in einer Zeitschrift |
Institute der Universität: | Fakultät für Humanwissenschaften (Philos., Psycho., Erziehungs- u. Gesell.-Wissensch.) / Institut für Psychologie |
Sprache der Veröffentlichung: | Englisch |
Erscheinungsjahr: | 2012 |
Originalveröffentlichung / Quelle: | Frontiers in Neuroscience (2012) 6: 72, doi:10.3389/fnins.2012.00072 |
DOI: | https://doi.org/10.3389/fnins.2012.00072 |
Allgemeine fachliche Zuordnung (DDC-Klassifikation): | 1 Philosophie und Psychologie / 15 Psychologie / 150 Psychologie |
Normierte Schlagworte (GND): | Psychologie |
Freie Schlagwort(e): | ERP-BCI; P300-Speller assisitvetechnology; auto-calibration; brain–computerinterface; event-relatedpotentials; predictivetextentry; user-centered |
Datum der Freischaltung: | 11.04.2013 |
EU-Projektnummer / Contract (GA) number: | 224631 |
OpenAIRE: | OpenAIRE |
Sammlungen: | Open-Access-Publikationsfonds / Förderzeitraum 2012 |
Lizenz (Deutsch): | CC BY: Creative-Commons-Lizenz: Namensnennung |