Asynchronous fixed-grid scanning with dynamic codes

  • Authors:
  • Russ Beckley;Brian Roark

  • Affiliations:
  • Oregon Health & Science University;Oregon Health & Science University

  • Venue:
  • SLPAT '11 Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies
  • Year:
  • 2011

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Abstract

In this paper, we examine several methods for including dynamic, contextually-sensitive binary codes within indirect selection typing methods using a grid with fixed symbol positions. Using Huffman codes derived from a character n-gram model, we investigate both synchronous (fixed latency highlighting) and asynchronous (self-paced using long versus short press) scanning. Additionally, we look at methods that allow for scanning past a target and returning to it versus methods that remove unselected items from consideration. Finally, we investigate a novel method for displaying the binary codes for each symbol to the user, rather than using cell highlighting, as the means for identifying the required input sequence for the target symbol. We demonstrate that dynamic coding methods for fixed position grids can be tailored for very diverse user requirements.