Dr Nick Hawes

Reader in Autonomous Intelligent Robotics

School of Computer Science
University of Birmingham
Edgbaston, Birmingham, B15 2TT
United Kingdom

Email: n.a.hawes@cs.bham.ac.uk
Twitter: @hawesie
Phone: +44 (0) 121 41 43739
Office: 133 (first floor, back right)
Office Hours: Mon 12:00, Tues 11:00 (term-time only)
Availability: Doodle MeetMe
[inverso04think] Sam A. Inverso, Nick Hawes, John Kelleher, Rebecca Allen and Ken Haase. Think And Spell: Context-Sensitive Predictive Text for an Ambiguous Keyboard Brain-Computer Interface Speller. Biomedizinische Technik, 49(1), pages 53-54, Walter de Gruyter. September 2004. [pdf] [bib]
Abstract.

A T9 ambiguous keyboard algorithm combined with context-sensitive word selection can reduce the decisions required to �type� a word. This approach can benefit spelling brain-computer interfaces which typically have less than 100% accuracy and slow information transfer rates. We report on initial research in applying a modified context aware T9 predictive text algorithm to BCI spelling. To support our approach, we present results from a prototype context-sensitive predictive text system.

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