The opinion mining and human-agent interaction communities are currently addressing
sentiment analysis from different perspectives that comprise, on the one hand, disparate …

In this paper we propose to combine speech-based and linguistic classification in order to
obtain better emotion recognition results for user spoken utterances. Usually these …

This paper introduces the University of Washington's Alexa Prize socialbot, Sounding Board,
which is designed to engage users with a wide variety of content. The system models the …

Spoken dialogue systems are computer programs developed to interact with users
employing speech in order to provide them with specific automated services. The interaction …

Trust is a fundamental element in human relationships, playing a crucial role in decision-
making processes. Despite its significance, numerous dimensions of perceived …

We describe the work on infusion of emotion into a limited-task autonomous spoken
conversational agent situated in the domestic environment, using a need-inspired task …

The field of open-domain conversation generation using deep neural networks has attracted
increasing attention from researchers for several years. However, traditional neural …

Despite the recent improvements in performance and reliably of the different components of
dialog systems, it is still crucial to devise strategies to avoid error propagation from one …

In this paper, we present a computational model capable to predict the viewer perception of
car advertisements videos by using a set of low-level video descriptors. Our research goal …

The establishment of relationships relies fundamentally on trust. Investigating the attributes
contributing to trustworthiness holds significant merit for enhancing decision-making …