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Automatic detection and interpretation of social signals carried by voice, gestures, mimics, etc. will play a key-role for next-generation interfaces as it paves the way towards a more intuitive and natural human-computer interaction. The paper at hand introduces Social Signal Interpretation (SSI), a framework for real-time recognition of social signals.(More)
BACKGROUND For percutaneously tracheostomized patients with prolonged weaning and persisting respiratory failure, the adequate time point for safe decannulation and switch to noninvasive ventilation is an important clinical issue. OBJECTIVES We aimed to evaluate the usefulness of a tracheostomy retainer (TR) and the predictors of successful decannulation.(More)
Nonverbal and unconscious behaviour is an important component of daily human-human interaction. This is especially true in situations such as public speaking, job interviews or information sensitive conversations, where researchers have shown that an increased awareness of one's behaviour can improve the outcome of the interaction. With wearable technology,(More)
The aim of the Multimodal and Multiperson Corpus of Laughter in Interaction (MMLI) was to collect multimodal data of laughter with the focus on full body movements and different laughter types. It contains both induced and interactive laughs from human triads. In total we collected 500 laugh episodes of 16 participants. The data consists of 3D body position(More)
Job interviews come with a number of challenges, especially for young people who are out of employment, education, or training (NEETs). This paper presents an approach to a job training simulation environment that employs two virtual characters and social cue recognition techniques to create an immersive interactive job interview. The two virtual characters(More)
In this paper we present a complete interactive system enabled to detect human laughs and respond appropriately, by integrating the information of the human behavior and the context. Furthermore, the impact of our autonomous laughter-aware agent on the humor experience of the user and interaction between user and agent is evaluated by subjective and(More)
This paper presents an approach that makes use of a virtual character and social signal processing techniques to create an immersive job interview simulation environment. In this environment, the virtual character plays the role of a recruiter which reacts and adapts to the user's behavior thanks to a component for the automatic recognition of social cues(More)
Immunotherapy employs cytokines for modifying local inflammatory reactions. Granulocyte-macrophage colony-stimulating factor (GM-CSF) has been shown to activate dendritic cells, macrophages, and granulocytes leading to clinical trials using GM-CSF-based cancer vaccine approaches. Interleukin-2 (IL-2) is an important T cell stimulatory cytokine approved as(More)