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 grid-based 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 solution, provides a single cursor. Our results confirmed a speed/accuracy trade-off with a nine-cursor variant allowing for faster task completion times while the one-cursor version resulted in reduced error rates. Our solutions eliminated the effect of distance, and dramatically reduced the importance of target size as compared to previous speech-based cursor control mechanisms. The results are explored through a predictive model and comparisons with results from earlier studies.
Original language | English (US) |
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Pages (from-to) | 219-230 |
Number of pages | 12 |
Journal | Behaviour and Information Technology |
Volume | 24 |
Issue number | 3 |
DOIs | |
State | Published - May 1 2005 |
All Science Journal Classification (ASJC) codes
- Developmental and Educational Psychology
- Arts and Humanities (miscellaneous)
- Social Sciences(all)
- Human-Computer Interaction