TY  - GEN
N2  - Natural interaction is one of the hottest research issues in human-computer interaction. At present, there is an urgent need for intelligent devices (service robots, virtual humans, etc.) to be able to understand intentions in an interactive dialogue. Focusing on human-computer understanding based on deep learning methods, the book systematically introduces readers to intention recognition, unknown intention detection, and new intention discovery in human-computer dialogue. This book is the first to present interactive dialogue intention analysis in the context of natural interaction. In addition to helping readers master the key technologies and concepts of human-machine dialogue intention analysis and catch up on the latest advances, it includes valuable references for further research.
DO  - 10.1007/978-981-99-3885-8
DO  - doi
AB  - Natural interaction is one of the hottest research issues in human-computer interaction. At present, there is an urgent need for intelligent devices (service robots, virtual humans, etc.) to be able to understand intentions in an interactive dialogue. Focusing on human-computer understanding based on deep learning methods, the book systematically introduces readers to intention recognition, unknown intention detection, and new intention discovery in human-computer dialogue. This book is the first to present interactive dialogue intention analysis in the context of natural interaction. In addition to helping readers master the key technologies and concepts of human-machine dialogue intention analysis and catch up on the latest advances, it includes valuable references for further research.
T1  - Intent recognition for human-machine interactions /
DA  - 2023.
CY  - Singapore :
AU  - Xu, Hua.
AU  - Zhang, Hanlei.
AU  - Lin, Ting-En.
CN  - QA76.9.H85
PB  - Springer,
PP  - Singapore :
PY  - 2023.
N1  - 5.4 Conclusion
ID  - 1476482
KW  - Human-computer interaction.
KW  - User interfaces (Computer systems)
KW  - Intention (Logic)
KW  - Interfaces utilisateurs (Informatique)
KW  - Intention (Logique)
SN  - 9789819938858
SN  - 9819938856
TI  - Intent recognition for human-machine interactions /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-3885-8
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-3885-8
ER  -