Publications
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The impact of avatar embodiment in the context of virtual training environments
For the past few decades, protocols using immersive virtual reality to study human behavior have become increasingly more common. Indeed, the technology offers many new advantages that traditional experimental setups lacked (e.g., ecological validity). However, beyond its use as an experimental tool, experiments using VR have revealed new phenomena caused by the use of these […]
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FVLLMONTI: The 3D Neural Network Compute Cube (N2C 2 ) Concept for Efficient Transformer Architectures Towards Speech-to-Speech Translation
This multi-partner-project contribution introduces the midway results of the Horizon 2020 FVLLMONTI project. In this project we develop a new and ultra-efficient class of ANN accelerators, the neural network compute cube (N 2C2), which is specifically designed to execute complex machine learning tasks in a 3D technology, in order to provide the high computing power […]
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Introducing the 3MT_French dataset to investigate the timing of public speaking judgements
In most public speaking datasets, judgements are given after watching the entire performance, or on thin slices randomly selected from the presentations, without focusing on the temporal location of these slices. This does not allow to investigate how people’s judgements develop over time during presentations. This contrasts with primacy and recency theories, which suggest that […]
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What are the drivers of competence management?
Globalization and technological transformations emphasize the need for developing new skills and acting at the peak of one’s capacities. Competence is defined as the combination of external and individual resources to fulfill one’s job demands and contribute to the organization’s purpose. It corresponds to feeling effective and efficient in one’s actions. As such, competence is […]
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Can Teal practices increase employees’ work engagement?
Because engaged employees work with passion, in deep connection with their company and are innovative, they may drive their organization’s performance. Teal organizations, which implement original and inspiring ways of working, appear particularly favourable to create and support engagement in the long run. The aim of this paper is twofold: first, to study engagement drivers […]
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Building a positive corporate governance
Organizations are subject to a dual movement of evolution: in the short term, they must adapt to fluctuations of the economic, geopolitical, energy, health, situations and so on. In the long term, they must be part of major societal and environmental transformations. Corporate governance must assume this dual mission of strategic decision and social responsibility, […]
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CG-MER: A Card Game-based Multimodal dataset for Emotion Recognition
The field of affective computing has seen significant advancements in exploring the relationship between emotions and emerging technologies. This paper presents a novel and valuable contribution to this field with the introduction of a comprehensive French multimodal dataset designed specifically for emotion recognition. The dataset encompasses three primary modalities: facial expressions, speech, and gestures, providing […]
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Modelling the “transactive memory system” in multimodal multiparty interactions
Transactive memory system (TMS) is a team emergent state representing the knowledge of each member about “who knows what” in a team performing a joint task. We present a study to show how the three TMS dimensions Credibility, Specialisation, Coordination, can be modelled as a linear combination of the nonverbal multimodal features displayed by the […]
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Exploring the Activities and Outcomes of Living Labs: Insights for meeting stakeholder expectations
Open innovation is a key concept in innovation management that encourages collaboration, knowledge sharing, and co-creation. Living Labs, as collaborative innovation structures, are well-suited for implementing open innovation. They serve as user-centered ecosystems for testing and validating user-oriented solutions in real-life conditions. While existing literature explores various dimensions of Living Labs, empirical research on practical […]
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An Enhanced Interface-Based Probabilistic Compositional Verification Approach
In this paper, we aim to advance the state of the art in the verification process of systems, predominantly modeled as Probabilistic Automata (PA). This model accommodates both nondeterministic and probabilistic behaviors. Our primary strategy to address the notorious state space explosion problem inherent in model checking is the adoption of abstraction and compositional verification […]
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Insights Into the Importance of Linguistic Textual Features on the Persuasiveness of Public Speaking
In both professional and private life, there is a growing need for public speaking skills. With this background, our research project’s long-term aims are to develop tools that can analyse public speeches and provide useful feedback. The impact of audio and visual characteristics on the automatic analysis of speech quality has been widely explored in […]
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ACE: how Artificial Character Embodiment shapes user behaviour in multi-modal interactions
The ACE -how Artifcial Character Embodiment shapes user behavior in multi-modal interactions -workshop aims to bring together researchers, practitioners and experts on the topic of embodiment, to analyze and foster discussion on its efects on user behavior in multi-modal interaction. ACE is aimed at stimulating multidisciplinary discussions on the topic, sharing recent progress, and providing […]
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