SHARK2: a large vocabulary shorthand writing system for pen-based computers

  • Authors:
  • Per-Ola Kristensson;Shumin Zhai

  • Affiliations:
  • Linköpings universitet, Linköping, Sweden and IBM Almaden Research Center, San Jose, CA;IBM Almaden Research Center, San Jose, CA

  • Venue:
  • Proceedings of the 17th annual ACM symposium on User interface software and technology
  • Year:
  • 2004

Quantified Score

Hi-index 0.02

Visualization

Abstract

Zhai and Kristensson (2003) presented a method of speed-writing for pen-based computing which utilizes gesturing on a stylus keyboard for familiar words and tapping for others. In SHARK2:, we eliminated the necessity to alternate between the two modes of writing, allowing any word in a large vocabulary (e.g. 10,000-20,000 words) to be entered as a shorthand gesture. This new paradigm supports a gradual and seamless transition from visually guided tracing to recall-based gesturing. Based on the use characteristics and human performance observations, we designed and implemented the architecture, algorithms and interfaces of a high-capacity multi-channel pen-gesture recognition system. The system's key components and performance are also reported.