Autor(es)

Lara Gauder and Leonardo Pepino and Pablo Riera and Silvina Brussino and Jazmín Vidal and Agustín Gravano and Luciana Ferrer

URL Pública

Abstract

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 a system. 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. With this goal in mind, in this work we aim to explore the feasibility of automatically detecting the technical competence or ability of a virtual assistant (VA) from the user’s speech, a simple proxy for the task we truly care about: detecting whether the user trusts the ability of the VA. Since, to our knowledge, no public databases were available to perform such study, we developed a novel protocol for collecting speech data from subjects interacting with VAs with different skill levels. The protocol consists of an interactive session …