Survey of current speech technology
Communications of the ACM
Patterns of entry and correction in large vocabulary continuous speech recognition systems
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Predicting text entry speed on mobile phones
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Multimodal error correction for speech user interfaces
ACM Transactions on Computer-Human Interaction (TOCHI)
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
User centered research and design at Motorola
CHI '00 Extended Abstracts on Human Factors in Computing Systems
Evaluation of thumbwheel text entry methods
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Multimodal Interfaces for Multimedia Information Agents
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 1 - Volume 1
A comparison of two input methods for keypads on mobile devices
Proceedings of the third Nordic conference on Human-computer interaction
The effect of speech recognition accuracy rates on the usefulness and usability of webcast archives
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ECSCW'01 Proceedings of the seventh conference on European Conference on Computer Supported Cooperative Work
Voice typing: a new speech interaction model for dictation on touchscreen devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SeeSay and HearSay CAPTCHA for mobile interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Giving voice to enterprise mobile applications
Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services
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Mobile phones, with their increasing processing power and memory, are enabling a diversity of tasks. The traditional text entry method using keypad is falling short in numerous ways. Some solutions to this problem include: QWERTY keypads on phone, external keypads, virtual keypads on table tops (Seimens at CeBIT '05) and last but not the least, automatic speech recognition (ASR) technology. Speech recognition allows for dictation which facilitates text input via voice. Despite the progress, ASR systems still do not perform satisfactorily in mobile environments. This is mainly due to the complexity of capturing large vocabulary spoken by diverse speakers in various acoustic conditions. Therefore, dictation has its advantages but also comes with its own set of usability problems. The objective of this research is to uncover the various uses and benefits of using dictation on a mobile phone. This study focused on the users' needs, expectations, and their concerns regarding the new input medium. Focus groups were conducted to investigate and discuss current data entry methods, potential use and usefulness of dictation feature, users' reaction to errors from ASR during dictation, and possible error correction methods. Our findings indicate a strong requirement for dictation. All participants perceived dictation to be very useful, as long as it is easily accessible and usable. Potential applications for dictation were found in two distinct areas namely communication and personal use.