Caroline B R Evans, Mimi V Chapman
Bullied youth: the impact of bullying through lesbian, gay, and bisexual name calling
The American journal of orthopsychiatry
study two approaches predicting appropriate pose robot take part group formations typical social human conversations subject physical layout surrounding environment one method modelbased explicitly encodes key geometric aspects conversational formations method datadriven implicitly models key properties spatial arrangements using graph neural networks adversarial training regimen evaluate proposed approaches quantitative metrics designed problem domain via human experiment results suggest proposed methods effective reasoning environment layout conversational group formations also used repeatedly simulate conversational spatial arrangements despite designed output single pose time however methods showed different strengths example geometric approach successful avoiding poses generated nonfree areas environment datadriven method better capturing variability conversational spatial formations discuss ways address open challenges pose generation problem interesting avenues future work