Improving the closing sequences of interaction between human and robot through conversation analysis
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Improving the closing sequences of interaction between human and robot through conversation analysis ; volume:14 ; number:1 ; day:28 ; month:11 ; year:2024 ; pages:1-11 ; date:12.2024
Scientific reports ; 14, Heft 1 (28.11.2024), 1-11, 12.2024
- Classification
-
Elektrotechnik, Elektronik
- Creator
-
Uchida, Takahisa
Kameo, Nahoko
Ishiguro, Hiroshi
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-024-81353-7
- URN
-
urn:nbn:de:101:1-2502132106419.607949051793
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:22 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Uchida, Takahisa
- Kameo, Nahoko
- Ishiguro, Hiroshi
- SpringerLink (Online service)
Other Objects (12)
Robot Interaction Styles for Conversation Practice in Second Language Learning
Closing
Closing
Investigating and improving background context consistency in neural conversation models
Closing the loop in minimally supervised human–robot interaction: formative and summative feedback
MARS: improving multiple circular sequence alignment using refined sequences
Codifying Wildness: Wild Behaviour for Improving Human-Robot Interaction
Closing Brief
Closing Speech
Closing Remarks
Closing Brief
Closing Brief
Robot Interaction Styles for Conversation Practice in Second Language Learning
Closing
Closing
Investigating and improving background context consistency in neural conversation models
Closing the loop in minimally supervised human–robot interaction: formative and summative feedback
MARS: improving multiple circular sequence alignment using refined sequences
Codifying Wildness: Wild Behaviour for Improving Human-Robot Interaction
Closing Brief
Closing Speech
Closing Remarks
Closing Brief
Closing Brief
Robot Interaction Styles for Conversation Practice in Second Language Learning
Closing
Closing
Investigating and improving background context consistency in neural conversation models
Closing the loop in minimally supervised human–robot interaction: formative and summative feedback
MARS: improving multiple circular sequence alignment using refined sequences
Codifying Wildness: Wild Behaviour for Improving Human-Robot Interaction
Closing Brief
Closing Speech
Closing Remarks
Closing Brief