Skip to main navigation Skip to search Skip to main content

Predictive Spelling With a p300-Based Brain-Computer Interface: Increasing the Rate of Communication

  • D. B. Ryan
  • , G. E. Frye
  • , G. Townsend
  • , D. R. Berry
  • , S. Mesa-G
  • , N. A. Gates
  • , E. W. Sellers
  • East Tennessee State University
  • Algoma University College

Research output: Contribution to journal › Article › peer-review

Abstract

This study compared a conventional P300 speller brain-computer interface (BCI) to one used in conjunction with a predictive spelling program. Performance differences in accuracy, bit rate, selections per minute, and output characters per minute (OCM) were examined. An 8 × 9 matrix of letters, numbers, and other keyboard commands was used. Participants (N = 24) were required to correctly complete the same 58 character sentence (i.e., correcting for errors) using the predictive speller (PS) and the nonpredictive speller (NS), counterbalanced. The PS produced significantly higher OCMs than the NS. Time to complete the task in the PS condition was 12 min 43 s as compared to 20 min 20 sec in the NS condition. Despite the marked improvement in overall output, accuracy was significantly higher in the NS paradigm. P300 amplitudes were significantly larger in the NS than in the PS paradigm, which is attributed to increased workload and task demands. These results demonstrate the potential efficacy of predictive spelling in the context of BCI.

Original languageAmerican English
JournalInternational Journal of Human-Computer Interaction
Volume27
DOIs
StatePublished - Jan 1 2011

Cite this