Abstract
Speech recognition is a particularly important technology for mobile computing since it provides a smaller, lighter interface than a keyboard. This paper investigates the impact of user's gender and user's computer experience on the performance of a speech recognition system. Using a field study of 33 users, voice-activated medical tracking application and a mobile healthcare fieldwork environment, we illustrate that the user's gender, user's computer experience and the interaction between the user's gender and computer experience has an impact on the performance of a speech recognition system.
Original language | English (US) |
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Pages (from-to) | 529-544 |
Number of pages | 16 |
Journal | International Journal of Human Computer Studies |
Volume | 60 |
Issue number | 5-6 |
DOIs | |
State | Published - May 2004 |
All Science Journal Classification (ASJC) codes
- Software
- Human Factors and Ergonomics
- Education
- General Engineering
- Human-Computer Interaction
- Hardware and Architecture