Speech-based navigation and error correction: A comprehensive comparison of two solutions

Jinjuan Feng, Shaojian Zhu, Ruimin Hu, Andrew Sears

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Speech-based navigation and error correction can serve as a useful alternative for individuals with disabilities that hinder the use of a keyboard and mouse, but existing solutions available in commercial software are still error-prone and time-consuming. This paper discusses two studies conducted with the goal of improving speech-based navigation and error correction techniques. The first study was designed to improve understanding of an innovative speech-based navigation technique: anchor-based navigation. The second study was longitudinal, spanning seven trials, and was intended to provide insights regarding the efficacy of both traditional target/direction-based navigation and anchor-based navigation. Building on earlier studies that employed similar methodologies and interaction solutions, this paper also provides an informal evaluation of a new correction dialogue. Although the two solutions resulted in the same level of efficiency, the underlying strategies adopted were different, and the anchor-based solution allowed participants to generate better quality text and was perceived to be easier to use. These results suggest that the anchor-based solution could be a promising alternative, especially for novice users as they learn how to use speech-based dictation solutions. The findings of these studies need to be further validated with the involvement of users with disabilities.

Original languageEnglish (US)
Pages (from-to)17-31
Number of pages15
JournalUniversal Access in the Information Society
Issue number1
StatePublished - Mar 2011

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Human-Computer Interaction
  • Computer Networks and Communications


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