2005
DOI: 10.1080/01449290412331328563
|View full text |Cite
|
Sign up to set email alerts
|

Speech-based cursor control using grids: modelling performance and comparisons with other solutions

Abstract: Speech recognition can be a powerful tool for use in human -computer interaction, especially in situations where the user's hands are unavailable or otherwise engaged. Researchers have confirmed that existing mechanisms for speech-based cursor control are both slow and error prone. To address this, we evaluated two variations of a novel gridbased cursor controlled via speech recognition. One provides users with nine cursors that can be used to specify the desired location while the second, more traditional sol… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
14
0

Year Published

2007
2007
2023
2023

Publication Types

Select...
5
1
1

Relationship

0
7

Authors

Journals

citations
Cited by 12 publications
(14 citation statements)
references
References 17 publications
0
14
0
Order By: Relevance
“…Empirical testing shows that selection times with the cell cursor correlate well with the number of spoken commands and are largely independent of the distance to targets. Dai et al (2005) informally compare performance data for their cell cursor with previous studies of conventional direction-based techniques for speech-controlled pointing and find that it is both faster and more accurate.…”
Section: Cell Cursorsmentioning
confidence: 95%
See 1 more Smart Citation
“…Empirical testing shows that selection times with the cell cursor correlate well with the number of spoken commands and are largely independent of the distance to targets. Dai et al (2005) informally compare performance data for their cell cursor with previous studies of conventional direction-based techniques for speech-controlled pointing and find that it is both faster and more accurate.…”
Section: Cell Cursorsmentioning
confidence: 95%
“…Further, selection of small targets is consistently faster with the TouchGrid, but error rates are consistently higher. Dai et al (2005) describe a cell cursor that is visually very similar to the TouchGrid but operated by speech input rather than touchpad taps. The cursor always consists of 3 Â 3 cells, and the user recursively specifies cells by giving their numbers as spoken commands.…”
Section: Cell Cursorsmentioning
confidence: 99%
“…Dai et al studied the advantages of a nine cursor solution over a single cursor solution [3]. Their results confirmed that multiple cursors, one within each grid block, are more effective at selecting targets than a single cursor placed in the middle of the screen.…”
Section: Grid-based Cursor Controlmentioning
confidence: 98%
“…In this equation, n is the number of columns/rows (in a 3x3 grid, n = 3), D is the largest parameter of the screen resolution (in the experimental case, D = 1920), and A is the size of the target in pixels [3]. From this equation, we see that increasing the granularity of the grid reduces the number of commands needed to select a target.…”
Section: Experimental Designmentioning
confidence: 99%
“…Compared to other speech-based cursor control solutions, grid-based solutions have drawn less attention and have been understudied. Grid-based solutions were originally developed for blind users [Kamel and Landay 1999] and have subsequently been studied in the context of users without visual impairments [Dai et al 2005]. Grid-based navigation provides a flexible, reliable alternative, allowing users to select targets by "drilling-down" to smaller grids until the · 3: 3 cursor is positioned in the desired location.…”
Section: Introductionmentioning
confidence: 99%