FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2921551268> ?p ?o ?g. }

• W2921551268 endingPage "20180027" @default.
• W2921551268 startingPage "20180027" @default.
• W2921551268 abstract "In the increasingly popular and diverse research area of social robotics, the primary goal is to develop robot agents that exhibit socially intelligent behaviour while interacting in a face-to-face context with human partners. An important aspect of face-to-face social conversation is fluent, flexible linguistic interaction; face-to-face dialogue is both the basic form of human communication and the richest and most flexible, combining unrestricted verbal expression with meaningful non-verbal acts such as gestures and facial displays, along with instantaneous, continuous collaboration between the speaker and the listener. In practice, however, most developers of social robots tend not to use the full possibilities of the unrestricted verbal expression afforded by face-to-face conversation; instead, they generally tend to employ relatively simplistic processes for choosing the words for their robots to say. This contrasts with the work carried out Natural Language Generation (NLG), the field of computational linguistics devoted to the automated production of high-quality linguistic content; while this research area is also an active one, in general most effort in NLG is focused on producing high-quality written text. This article summarizes the state of the art in the two individual research areas of social robotics and natural language generation. It then discusses the reasons why so few current social robots make use of more sophisticated generation techniques. Finally, an approach is proposed to bringing some aspects of NLG into social robotics, concentrating on techniques and tools that are most appropriate to the needs of socially interactive robots. This article is part of the theme issue 'From social brains to social robots: applying neurocognitive insights to human-robot interaction'." @default.
• W2921551268 created "2019-03-22" @default.
• W2921551268 creator A5045191894 @default.
• W2921551268 date "2019-03-11" @default.
• W2921551268 modified "2023-10-13" @default.
• W2921551268 title "Natural language generation for social robotics: opportunities and challenges" @default.
• W2921551268 cites W1524254503 @default.
• W2921551268 cites W1834533132 @default.
• W2921551268 cites W2032568497 @default.
• W2921551268 cites W2043147031 @default.
• W2921551268 cites W2059993653 @default.
• W2921551268 cites W2062295023 @default.
• W2921551268 cites W2063047401 @default.
• W2921551268 cites W2099019320 @default.
• W2921551268 cites W2119874156 @default.
• W2921551268 cites W2133341864 @default.
• W2921551268 cites W2141973273 @default.
• W2921551268 cites W2159573465 @default.
• W2921551268 cites W2282219577 @default.
• W2921551268 cites W2341150500 @default.
• W2921551268 cites W2483402000 @default.
• W2921551268 cites W2561922285 @default.
• W2921551268 cites W2604799547 @default.
• W2921551268 cites W2764065864 @default.
• W2921551268 cites W2847065617 @default.
• W2921551268 cites W2897271499 @default.
• W2921551268 cites W3124386704 @default.
• W2921551268 doi "https://doi.org/10.1098/rstb.2018.0027" @default.
• W2921551268 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6452247" @default.
• W2921551268 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30853003" @default.
• W2921551268 hasPublicationYear "2019" @default.
• W2921551268 type Work @default.
• W2921551268 sameAs 2921551268 @default.
• W2921551268 citedByCount "20" @default.
• W2921551268 countsByYear W29215512682019 @default.
• W2921551268 countsByYear W29215512682020 @default.
• W2921551268 countsByYear W29215512682021 @default.
• W2921551268 countsByYear W29215512682022 @default.
• W2921551268 countsByYear W29215512682023 @default.
• W2921551268 crossrefType "journal-article" @default.
• W2921551268 hasAuthorship W2921551268A5045191894 @default.
• W2921551268 hasBestOaLocation W29215512681 @default.
• W2921551268 hasConcept C107457646 @default.
• W2921551268 hasConcept C111472728 @default.
• W2921551268 hasConcept C138885662 @default.
• W2921551268 hasConcept C145460709 @default.
• W2921551268 hasConcept C151730666 @default.
• W2921551268 hasConcept C154945302 @default.
• W2921551268 hasConcept C15744967 @default.
• W2921551268 hasConcept C162947575 @default.
• W2921551268 hasConcept C166957645 @default.
• W2921551268 hasConcept C195324797 @default.
• W2921551268 hasConcept C195704467 @default.
• W2921551268 hasConcept C19966478 @default.
• W2921551268 hasConcept C207347870 @default.
• W2921551268 hasConcept C2776187449 @default.
• W2921551268 hasConcept C2776608160 @default.
• W2921551268 hasConcept C2777200299 @default.
• W2921551268 hasConcept C2779304628 @default.
• W2921551268 hasConcept C2779343474 @default.
• W2921551268 hasConcept C2779530757 @default.
• W2921551268 hasConcept C34413123 @default.
• W2921551268 hasConcept C41008148 @default.
• W2921551268 hasConcept C41895202 @default.
• W2921551268 hasConcept C46312422 @default.
• W2921551268 hasConcept C65401140 @default.
• W2921551268 hasConcept C86803240 @default.
• W2921551268 hasConcept C90509273 @default.
• W2921551268 hasConcept C95457728 @default.
• W2921551268 hasConceptScore W2921551268C107457646 @default.
• W2921551268 hasConceptScore W2921551268C111472728 @default.
• W2921551268 hasConceptScore W2921551268C138885662 @default.
• W2921551268 hasConceptScore W2921551268C145460709 @default.
• W2921551268 hasConceptScore W2921551268C151730666 @default.
• W2921551268 hasConceptScore W2921551268C154945302 @default.
• W2921551268 hasConceptScore W2921551268C15744967 @default.
• W2921551268 hasConceptScore W2921551268C162947575 @default.
• W2921551268 hasConceptScore W2921551268C166957645 @default.
• W2921551268 hasConceptScore W2921551268C195324797 @default.
• W2921551268 hasConceptScore W2921551268C195704467 @default.
• W2921551268 hasConceptScore W2921551268C19966478 @default.
• W2921551268 hasConceptScore W2921551268C207347870 @default.
• W2921551268 hasConceptScore W2921551268C2776187449 @default.
• W2921551268 hasConceptScore W2921551268C2776608160 @default.
• W2921551268 hasConceptScore W2921551268C2777200299 @default.
• W2921551268 hasConceptScore W2921551268C2779304628 @default.
• W2921551268 hasConceptScore W2921551268C2779343474 @default.
• W2921551268 hasConceptScore W2921551268C2779530757 @default.
• W2921551268 hasConceptScore W2921551268C34413123 @default.
• W2921551268 hasConceptScore W2921551268C41008148 @default.
• W2921551268 hasConceptScore W2921551268C41895202 @default.
• W2921551268 hasConceptScore W2921551268C46312422 @default.
• W2921551268 hasConceptScore W2921551268C65401140 @default.
• W2921551268 hasConceptScore W2921551268C86803240 @default.
• W2921551268 hasConceptScore W2921551268C90509273 @default.
• W2921551268 hasConceptScore W2921551268C95457728 @default.
• W2921551268 hasFunder F4320332999 @default.
• W2921551268 hasIssue "1771" @default.

• next