activity
20172021
most citedA large, crowdsourced evaluation of gesture generation systems on common data: The GENEA Challenge 2020

69 citations · 99 across the 4 of their papers we have counts for

collaborators

8 papers

cs.RO20212 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.HC202123 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.HC202169 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

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

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

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…