activity
20142025
most citedMultiMediate'23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions

19 citations · 50 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2025

REACT 2025: the Third Multiple Appropriate Facial Reaction Generation Challenge

Siyang Song, Micol Spitale, Xiangyu Kong +12

In dyadic interactions, a broad spectrum of human facial reactions might be appropriate for responding to each human speaker behaviour. Following the successful organisation of the…

cs.CV2024

REACT 2024: the Second Multiple Appropriate Facial Reaction Generation Challenge

Siyang Song, Micol Spitale, Cheng Luo +9

In dyadic interactions, humans communicate their intentions and state of mind using verbal and non-verbal cues, where multiple different facial reactions might be appropriate in re…

cs.CV2023★ 19 cited

MultiMediate'23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions

Philipp Müller, Michal Balazia, Tobias Baur +9

Automatic analysis of human behaviour is a fundamental prerequisite for the creation of machines that can effectively interact with- and support humans in social interactions. In M…

cs.CV2023★ 1 cited

REACT2023: the first Multi-modal Multiple Appropriate Facial Reaction Generation Challenge

Siyang Song, Micol Spitale, Cheng Luo +8

The Multi-modal Multiple Appropriate Facial Reaction Generation Challenge (REACT2023) is the first competition event focused on evaluating multimedia processing and machine learnin…

cs.LG2023★ 5 cited

ForDigitStress: A multi-modal stress dataset employing a digital job interview scenario

Alexander Heimerl, Pooja Prajod, Silvan Mertes +7

We present a multi-modal stress dataset that uses digital job interviews to induce stress. The dataset provides multi-modal data of 40 participants including audio, video (motion c…

cs.HC2022

"GAN I hire you?" -- A System for Personalized Virtual Job Interview Training

Alexander Heimerl, Silvan Mertes, Tanja Schneeberger +6

Job interviews are usually high-stakes social situations where professional and behavioral skills are required for a satisfactory outcome. Professional job interview trainers give…

cs.HC2018★ 13 cited

Applying Cooperative Machine Learning to Speed Up the Annotation of Social Signals in Large Multi-modal Corpora

Johannes Wagner, Tobias Baur, Yue Zhang +3

Scientific disciplines, such as Behavioural Psychology, Anthropology and recently Social Signal Processing are concerned with the systematic exploration of human behaviour. A typic…

cs.AI2014★ 12 cited

Interpreting social cues to generate credible affective reactions of virtual job interviewers

Hazael Jones, Nicolas Sabouret, Ionut Damian +4

In this paper we describe a mechanism of generating credible affective reactions in a virtual recruiter during an interaction with a user. This is done using communicative performa…