activity
20172021
most citedGesticulator: A framework for semantically-aware speech-driven gesture generation

165 citations · 356 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO2021★ 2 cited

Mechanical Chameleons: Evaluating the effects of a social robot's non-verbal behavior on social influence

Patrik Jonell, Anna Deichler, Ilaria Torre +2

In this paper we present a pilot study which investigates how non-verbal behavior affects social influence in social robots. We also present a modular system which is capable of co…

cs.HC2021★ 23 cited

Speech2Properties2Gestures: Gesture-Property Prediction as a Tool for Generating Representational Gestures from Speech

Taras Kucherenko, Rajmund Nagy, Patrik Jonell +3

We propose a new framework for gesture generation, aiming to allow data-driven approaches to produce more semantically rich gestures. Our approach first predicts whether to gesture…

cs.HC2021★ 69 cited

A large, crowdsourced evaluation of gesture generation systems on common data: The GENEA Challenge 2020

Taras Kucherenko, Patrik Jonell, Youngwoo Yoon +2

Co-speech gestures, gestures that accompany speech, play an important role in human communication. Automatic co-speech gesture generation is thus a key enabling technology for embo…

cs.HC2021★ 21 cited

HEMVIP: Human Evaluation of Multiple Videos in Parallel

Patrik Jonell, Youngwoo Yoon, Pieter Wolfert +2

In many research areas, for example motion and gesture generation, objective measures alone do not provide an accurate impression of key stimulus traits such as perceived quality o…

cs.HC2020★ 21 cited

Can we trust online crowdworkers? Comparing online and offline participants in a preference test of virtual agents

Patrik Jonell, Taras Kucherenko, Ilaria Torre +1

Conducting user studies is a crucial component in many scientific fields. While some studies require participants to be physically present, other studies can be conducted both phys…

cs.CV2020★ 50 cited

Let's Face It: Probabilistic Multi-modal Interlocutor-aware Generation of Facial Gestures in Dyadic Settings

Patrik Jonell, Taras Kucherenko, Gustav Eje Henter +1

To enable more natural face-to-face interactions, conversational agents need to adapt their behavior to their interlocutors. One key aspect of this is generation of appropriate non…

cs.HC2020★ 165 cited

Gesticulator: A framework for semantically-aware speech-driven gesture generation

Taras Kucherenko, Patrik Jonell, Sanne van Waveren +4

During speech, people spontaneously gesticulate, which plays a key role in conveying information. Similarly, realistic co-speech gestures are crucial to enable natural and smooth i…

cs.HC2017★ 5 cited

Machine Learning and Social Robotics for Detecting Early Signs of Dementia

Patrik Jonell, Joseph Mendelson, Thomas Storskog +12

This paper presents the EACare project, an ambitious multi-disciplinary collaboration with the aim to develop an embodied system, capable of carrying out neuropsychological tests t…