activity
20202022
most citedOn-the-fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction, International Journal of Social Robotics, 2019

44 citations · 70 across the 7 of their papers we have counts for

collaborators

7 papers

cs.HC2022★ 7 cited

How unitizing affects annotation of cohesion

Eleonora Ceccaldi, Nale Lehmann-Willenbrock, Erica Volta +3

This paper investigates how unitizing affects external observers' annotation of group cohesion. We compared unitizing techniques belonging to these categories: interval coding, con…

cs.CL2021★ 11 cited

Beam Search with Bidirectional Strategies for Neural Response Generation

Pierre Colombo, Chouchang Yang, Giovanna Varni +1

Sequence-to-sequence neural networks have been widely used in language-based applications as they have flexible capabilities to learn various language models. However, when seeking…

cs.HC2021★ 1 cited

Does the Goal Matter? Emotion Recognition Tasks Can Change the Social Value of Facial Mimicry towards Artificial Agents

Giulia Perugia, Maike Paetzel-Prüssman, Isabelle Hupont +4

In this paper, we present a study aimed at understanding whether the embodiment and humanlikeness of an artificial agent can affect people's spontaneous and instructed mimicry of i…

cs.HC2020★ 44 cited

On-the-fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction, International Journal of Social Robotics, 2019

Atef Ben Youssef, Giovanna Varni, Slim Essid +1

In this paper, we consider the detection of a decrease of engagement by users spontaneously interacting with a socially assistive robot in a public space. We first describe the UE-…

stat.ML2020

Heavy-tailed Representations, Text Polarity Classification & Data Augmentation

Hamid Jalalzai, Pierre Colombo, Chloé Clavel +4

The dominant approaches to text representation in natural language rely on learning embeddings on massive corpora which have convenient properties such as compositionality and dist…

cs.CL2020

Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue

Pierre Colombo, Emile Chapuis, Matteo Manica +3

The task of predicting dialog acts (DA) based on conversational dialog is a key component in the development of conversational agents. Accurately predicting DAs requires a precise…