Speech Interface: An Enhancer to the Acceptance of M-Commerce Applications
ICMB '05 Proceedings of the International Conference on Mobile Business
Voice activated command and control with speech recognition over WiFi
Science of Computer Programming - Special issue: Principles and practices of programming in Java (PPPJ 2004)
MACCS: enabling communications for mobile workers within healthcare environments
Proceedings of the 8th conference on Human-computer interaction with mobile devices and services
Usability issues in an interactive speech-to-speech translation system for healthcare
MST '06 Proceedings of the Workshop on Medical Speech Translation
Design and performance evaluation of voice activated wireless home devices
IEEE Transactions on Consumer Electronics
SAICSIT '10 Proceedings of the 2010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists
Hype or Ready for Prime Time?: Speech Recognition on Mobile Handheld Devices MASR
International Journal of Handheld Computing Research
A paradigm shift for mobile interaction: a decade later
CASCON '13 Proceedings of the 2013 Conference of the Center for Advanced Studies on Collaborative Research
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Speech recognition technology is regarded as a key enabler for increasing the usability of applications deployed on mobile devices -- devices which are becoming increasingly prevalent in modern hospital-based healthcare. Although the use of speech recognition is not new to the hospital-based healthcare domain, its use with mobile devices has thus far been limited. This paper presents the results of a literature review we conducted in order to observe the manner in which speech recognition technology has been used in hospital-based healthcare and to gain an understanding of how this technology is being evaluated, in terms of its dependability and reliability, in healthcare settings. Our intent is that this review will help identify scope for future uses of speech recognition technologies in the healthcare domain, as well as to identify implications for the meaningful evaluation of such technologies given the specific context of use.