Acoustic/prosodic (a/p) entrainment has been associated with multiple positive social aspects of human-human conversations.
no code implementations • 2 Oct 2022 • Juan Manuel Pérez, Franco Luque, Demian Zayat, Martín Kondratzky, Agustín Moro, Pablo Serrati, Joaquín Zajac, Paula Miguel, Natalia Debandi, Agustín Gravano, Viviana Cotik
In this work, we provide a novel corpus for contextualized hate speech detection based on user responses to news posts from media outlets on Twitter.
An automatic prediction of the level of trust that a user has on a certain system could be used to attempt to correct potential distrust by having the system take relevant actions like, for example, apologizing or explaining its decisions.
Research has shown that trust is an essential aspect of human-computer interaction directly determining the degree to which the person is willing to use the system.
In this work, we present a novel metric based on Information Theory that incorporates user frequency.