The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.
Spoken Dialogue Technology
Abstract
Spoken dialogue systems allow users to interact with computer-based applications such as databases and expert systems by using natural spoken language. The origins of spoken dialogue systems can be traced back to Artificial Intelligence research in the 1950s concerned with developing conversational interfaces. However, it is only within the last decade or so, with major advances in speech technology, that large-scale working systems have been developed and, in some cases, introduced into commercial environments. As a result many major telecommunications and software companies have become aware of the potential for spoken dialogue technology to provide solutions in newly developing areas such as computer-telephony integration. Voice portals, which provide a speech-based interface between a telephone user and Web-based services, are the most recent application of spoken dialogue technology. This article describes the main components of the technology---speech recognition, language understanding, dialogue management, communication with an external source such as a database, language generation, speech synthesis---and shows how these component technologies can be integrated into a spoken dialogue system. The article describes in detail the methods that have been adopted in some well-known dialogue systems, explores different system architectures, considers issues of specification, design, and evaluation, reviews some currently available dialogue development toolkits, and outlines prospects for future development.
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Citations
Cites
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Cited by
Conversational agents in healthcare: a systematic review
Laranjo, L., Dunn, A. G., Tong, H. L., Kocaballi, A. B., Chen, J., Bashir, R., Surian, D., Gallego, B., Magrabi, F., Lau, A. Y. S., et al. (2018) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocy072 · Cited by 1,388
“8,9 Given the development of increasingly powerful and connected devices, and growing access to contextual information (such as from sensors), smartphone conversational agents are now widely used by consumers for daily tasks like retrieving information and managing calendars.”
BackgroundInfluentialVoice Interfaces in Everyday Life
Porcheron, M., Fischer, J. E., Reeves, S., & Sharples, S. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174214 · Cited by 717
“For example, early on McTear defined spoken dialogue systems as “computer systems with which humans interact on a turn-by-turn basis” [19].”
BackgroundAn overview of the features of chatbots in mental health: A scoping review
Abd-alrazaq, A. A., Alajlani, M., Alalwan, A. A., Bewick, B. M., Gardner, P., & Househ, M. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.103978 · Cited by 605
“chatbots cannot usually control the dialogue because their inputs are restricted to predefined words and phrases [28].”
BackgroundMethodInfluentialThe Personalization of Conversational Agents in Health Care: Systematic Review
Kocaballi, A. B., Berkovsky, S., Quiroz, J. C., Laranjo, L., Tong, H. L., Rezazadegan, D., Briatore, A., & Coiera, E. (2019) · Journal of Medical Internet Research · doi:10.2196/15360 · Cited by 332
“feature computer-generated visual virtual characters capable of both verbal and nonverbal communication, and commonly available smart conversational interfaces such as Apple’s Siri, Google’s Google Assistant, Samsung’s Bixby, and Microsoft’s Cortana [1,33,34].”
BackgroundMusic, Search, and IoT: How People (Really) Use Voice Assistants
Ammari, T., Kaye, J., Tsai, J. Y., & Bentley, F. (2019) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3311956 · Cited by 356
Metadata
- Authors
- McTear, M. F.
- Venue
- Springer eBooks
- Publisher
- Springer London
- Published
- 2004
- Volume
- 34
- Issue
- 1
- Pages
- 90-169
- OpenAlex
- W2117488952
- Cited by
- 566
- References
- 114
- FWCI
- 5.59
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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