Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312992018> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W4312992018 abstract "Robots that operate in social settings must be able to recognize, understand, and reason about human conversational groups (i.e., F-formations). While several algorithms have been developed for identifying such groups, there has been little research on how robots might reason about inaccuracies following group classification (e.g., recognizing only 4 of 5 group members). We address this gap through a data-driven approach that builds knowledge of human group positioning. By analyzing multiple conversational group data sets, we have developed a system for identifying high probability regions that indicate areas where people are likely to stand in a group relative to a single anchor participant. We use knowledge of these regions to train two models, which we implement on a social robot. The first model can estimate the true size of a partially-observed conversational group (i.e., a group where only some of the participants were detected). Our second model can predict the locations where any undetected participants are likely to reside. Together, these mod-els may improve F-formation detection algorithms by increasing robustness to noisy input data." @default.
- W4312992018 created "2023-01-05" @default.
- W4312992018 creator A5005782953 @default.
- W4312992018 creator A5024581242 @default.
- W4312992018 date "2022-03-07" @default.
- W4312992018 modified "2023-10-18" @default.
- W4312992018 title "Predicting Positions of People in Human-Robot Conversational Groups" @default.
- W4312992018 cites W133839609 @default.
- W4312992018 cites W1516645065 @default.
- W4312992018 cites W1571434535 @default.
- W4312992018 cites W1798858811 @default.
- W4312992018 cites W1973201883 @default.
- W4312992018 cites W1992225177 @default.
- W4312992018 cites W1999547171 @default.
- W4312992018 cites W2010236945 @default.
- W4312992018 cites W2022853629 @default.
- W4312992018 cites W2026938276 @default.
- W4312992018 cites W2027275111 @default.
- W4312992018 cites W2041569893 @default.
- W4312992018 cites W2044924490 @default.
- W4312992018 cites W2058073470 @default.
- W4312992018 cites W2066006588 @default.
- W4312992018 cites W2066718104 @default.
- W4312992018 cites W2070654409 @default.
- W4312992018 cites W2076480023 @default.
- W4312992018 cites W2080370730 @default.
- W4312992018 cites W2093179310 @default.
- W4312992018 cites W2115096660 @default.
- W4312992018 cites W2122381532 @default.
- W4312992018 cites W2125147351 @default.
- W4312992018 cites W2132049110 @default.
- W4312992018 cites W2139992310 @default.
- W4312992018 cites W2143554828 @default.
- W4312992018 cites W2147377836 @default.
- W4312992018 cites W2147806277 @default.
- W4312992018 cites W2150327087 @default.
- W4312992018 cites W2160957486 @default.
- W4312992018 cites W2166790283 @default.
- W4312992018 cites W2518499080 @default.
- W4312992018 cites W2561603333 @default.
- W4312992018 cites W2592775223 @default.
- W4312992018 cites W2594677124 @default.
- W4312992018 cites W2771965516 @default.
- W4312992018 cites W2795683013 @default.
- W4312992018 cites W2890248990 @default.
- W4312992018 cites W2903344695 @default.
- W4312992018 cites W3030453002 @default.
- W4312992018 cites W62987774 @default.
- W4312992018 cites W888912767 @default.
- W4312992018 doi "https://doi.org/10.1109/hri53351.2022.9889628" @default.
- W4312992018 hasPublicationYear "2022" @default.
- W4312992018 type Work @default.
- W4312992018 citedByCount "0" @default.
- W4312992018 crossrefType "proceedings-article" @default.
- W4312992018 hasAuthorship W4312992018A5005782953 @default.
- W4312992018 hasAuthorship W4312992018A5024581242 @default.
- W4312992018 hasConcept C104317684 @default.
- W4312992018 hasConcept C119857082 @default.
- W4312992018 hasConcept C145460709 @default.
- W4312992018 hasConcept C154945302 @default.
- W4312992018 hasConcept C15744967 @default.
- W4312992018 hasConcept C178790620 @default.
- W4312992018 hasConcept C180872759 @default.
- W4312992018 hasConcept C185592680 @default.
- W4312992018 hasConcept C2781311116 @default.
- W4312992018 hasConcept C41008148 @default.
- W4312992018 hasConcept C55493867 @default.
- W4312992018 hasConcept C63479239 @default.
- W4312992018 hasConcept C77805123 @default.
- W4312992018 hasConcept C90509273 @default.
- W4312992018 hasConceptScore W4312992018C104317684 @default.
- W4312992018 hasConceptScore W4312992018C119857082 @default.
- W4312992018 hasConceptScore W4312992018C145460709 @default.
- W4312992018 hasConceptScore W4312992018C154945302 @default.
- W4312992018 hasConceptScore W4312992018C15744967 @default.
- W4312992018 hasConceptScore W4312992018C178790620 @default.
- W4312992018 hasConceptScore W4312992018C180872759 @default.
- W4312992018 hasConceptScore W4312992018C185592680 @default.
- W4312992018 hasConceptScore W4312992018C2781311116 @default.
- W4312992018 hasConceptScore W4312992018C41008148 @default.
- W4312992018 hasConceptScore W4312992018C55493867 @default.
- W4312992018 hasConceptScore W4312992018C63479239 @default.
- W4312992018 hasConceptScore W4312992018C77805123 @default.
- W4312992018 hasConceptScore W4312992018C90509273 @default.
- W4312992018 hasLocation W43129920181 @default.
- W4312992018 hasOpenAccess W4312992018 @default.
- W4312992018 hasPrimaryLocation W43129920181 @default.
- W4312992018 hasRelatedWork W2887331904 @default.
- W4312992018 hasRelatedWork W2929072034 @default.
- W4312992018 hasRelatedWork W2956519567 @default.
- W4312992018 hasRelatedWork W2961085424 @default.
- W4312992018 hasRelatedWork W2999397569 @default.
- W4312992018 hasRelatedWork W3010794911 @default.
- W4312992018 hasRelatedWork W3209260071 @default.
- W4312992018 hasRelatedWork W4286629047 @default.
- W4312992018 hasRelatedWork W4306674287 @default.
- W4312992018 hasRelatedWork W4224009465 @default.
- W4312992018 isParatext "false" @default.
- W4312992018 isRetracted "false" @default.
- W4312992018 workType "article" @default.