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The role of voice input for human-machine communication
1Department of Computer Science and Engineering, Oregon Graduate Institute of Science and Technology, Portland 97034, USA.
Summary
Advancements in speech recognition are enabling voice-controlled human-computer interaction. Further research is crucial for developing robust spoken language systems and understanding user performance.
Area of Science:
- Human-Computer Interaction
- Speech Recognition Technology
- Natural Language Processing
Background:
- Growing optimism for rapid advancements in voice-based human-computer interaction (HCI).
- Development of speaker-independent, real-time speech recognition systems with large vocabularies.
- Integration of speech recognition into mainstream computer products.
Purpose of the Study:
- Review application areas for voice-based HCI.
- Assess the benefits of human-machine spoken interaction.
- Compare voice modality with other HCI methods.
Main Methods:
- Literature review of current speech recognition capabilities.
- Analysis of potential benefits and applications of spoken interaction.
- Comparative assessment of voice versus other HCI modalities.
- Identification of knowledge gaps for future interface design.
Main Results:
- Voice-based HCI is poised for significant growth.
- Substantial knowledge base is required for broad utility.
- Systematic research is needed for empirical foundation.
Conclusions:
- Voice interaction offers significant potential in HCI.
- Further research is essential for designing effective spoken and multimodal interfaces.
- A scientific approach is advocated for studying spoken input and performance.