F2FCrowds: Planning Agent Movements to Enable Face-to-Face Interactions

We present an approach for multi-agent navigation that facilitates face-to-face interaction in virtual crowds, based on a novel interaction velocity prediction (IVP) algorithm. Our user evaluation indicates that such techniques enabling face-to-face interactions can improve the sense of presence felt by the user. The virtual agents using these algorithms also appear more responsive and are able to elicit more reaction from the users.

@article{randhavane2017f2fcrowds,
  title={F2FCrowds: Planning agent movements to enable face-to-face interactions},
  author={Randhavane, Tanmay and Bera, Aniket and Manocha, Dinesh},
  journal={Presence: Teleoperators and Virtual Environments},
  volume={26},
  number={2},
  pages={228--246},
  year={2017},
  publisher={MIT Press}
}