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Modelling Users’ Affect in Job Interviews: Technological Demo

Kaśka Porayska-Pomsta, Keith Anderson, Ionut Damian, Tobias Baur, Elisabeth André, Sara Bernardini and Paola Rizzo

Modelling Users’ Affect in Job Interviews: Technological Demo

This demo presents an approach to recognising and interpreting social cues-based interactions in computer-enhanced job interview simulations. We show what social cues and complex mental states of the user are relevant in this interaction context, how they can be interpreted using static Bayesian Networks, and how they can be recognised automatically using state-of-the-art sensor technology in real-time.
erschienen June 10-14, 2013 in: Rome, Italy User Modeling, Adaptation, and Personalization, Lecture Notes in Computer Science vol. 7899

Verlag: Springer Berlin Heidelberg


ISBN: 978-3-642-38843-9
Fundstelle: 353-355


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