activity
20172022
most citedTowards Speech Emotion Recognition "in the wild" using Aggregated Corpora and Deep Multi-Task Learning

17 citations · 38 across the 7 of their papers we have counts for

collaborators

7 papers

cs.HC2022★ 4 cited

Designing Conversational Robots with Children during the Pandemic

Thomas Beelen, Ella Velner, Roeland Ordelman +3

Our research project (CHATTERS) is about designing a conversational robot for children's digital information search. We want to design a robot with a suitable conversation, that fo…

cs.IR2021★ 3 cited

Does your robot know? Enhancing children's information retrieval through spoken conversation with responsible robots

T. Beelen, E. Velner, R. Ordelman +3

In this paper, we identify challenges in children's current information retrieval process, and propose conversational robots as an opportunity to ease this process in a responsible…

cs.HC2021★ 1 cited

Speaking of Trust -- Speech as a Measure of Trust

Ella Velner, Khiet P. Truong, Vanessa Evers

Since trust measures in human-robot interaction are often subjective or not possible to implement real-time, we propose to use speech cues (on what, when and how the user talks) as…

cs.RO2020★ 3 cited

Usability of a Robot's Realistic Facial Expressions and Peripherals in Autistic Children's Therapy

Jamy Li, Daniel Davison, Bob Schadenberg +8

Robot-assisted therapy is an emerging form of therapy for autistic children, although designing effective robot behaviors is a challenge for effective implementation of such therap…

cs.RO2017★ 1 cited

Planning Based System for Child-Robot Interaction in Dynamic Play Environments

Vicky Charisi, Bram Ridder, Jaebok Kim +1

This paper describes the initial steps towards the design of a robotic system that intends to perform actions autonomously in a naturalistic play environment. At the same time it a…

cs.CL2017★ 9 cited

Learning spectro-temporal features with 3D CNNs for speech emotion recognition

Jaebok Kim, Khiet P. Truong, Gwenn Englebienne +1

In this paper, we propose to use deep 3-dimensional convolutional networks (3D CNNs) in order to address the challenge of modelling spectro-temporal dynamics for speech emotion rec…