Lecturers Alessandro Vinciarelli Alessandro Vinciarelli, lecturer at the University of Glasgow (Department of Computing Science) and senior researcher of the Idiap Research Institute (Martigny, Switzerland. Main research interest: analysis of nonverbal-social behavior in real world situations like debates and meetings, particular focus on four major social phenomena: emergence and dynamics of conflicts, display of status and power relationships, role recognition, and communication effectiveness. Multimedia Content Analysis with extraction of information from audio and video recordings, moving towards Social Signal Processing (SSP), which aims at recognizing social behavior through modeling, analysis and synthesis of nonverbal behavior. Coordinator, of a European Network of Excellence called Social Signal Processing Network (SSPNet), aiming at establishing a European research community on modeling analysis and synthesis of social signals. Principal Investigator of Cross-Cultural Personality Perception and head of the Integrated Project Social Signal Processing in the framework of IM2, a large national Swiss collaboration aimed at multimodal analysis of meetings. Jürgen Trouvain Current research interests include: non-verbal vocalisations, e.g. laughter, stylistic variation, e.g. sports commentaries, and non-native speech, e.g. L1: French, L2: German. Recent publications on the acoustics of overlapping laughter in conversational speech, acoustic, morphological, and functional aspects of "yeah/ja" in Dutch, English and German, convergence of laughter in conversational speech: effects of quantity, temporal alignment and imitation, laughter annotations in conversational speech corpora and Magnetic brain activity phase-locked to the envelope, the syllable onsets, and the fundamental frequency of a perceived speech signal.
Jens Allwood Jens Allwood, professor of linguistics, Chairman of SCCIIL Interdisciplinary Center and the Division of Communication and Cognition, Department of Applied IT, University of Gothenburg. Main research interests: research in the areas of semantics and pragmatics. Mostly this research has been focused on interaction in spoken language including psycholinguistic and sociolinguistic aspects. Heading projects focused on semantics for spoken language activity based communication analysis, cultural variation in communication and the visualization of complex information. Recent work on multimodal corpora and social signal processing in first encounters and political debates. Laurens van Maaten Assistant professor at Delft University of Technology working on computer vision and machine learning. Main research interests: machine learning and computer vision. In particular, interested in dimensionality reduction, generative models, deep networks, time series classification, texture analysis, facial expression analysis, and automatic writer identification.
Jens Edlund Department of Speech, Music and Hearing at KTH. Jens has a background in linguistics and computational linguistics. Current research: dialogue and spoken dialogue systems and their components. Particularly interested in what humans do when they speak to each other face- to- face and in human- like aspects spoken dialogue between humans and machines. Projects on: Timing of intonation and gestures in spoken communication, GetHomeSafe, Samtalets rytm, Prosody in conversation. Anton Nijholt Anton Nijholt started his professional life as a programmer at TNO- Delft. He studied civil engineering, mathematics and computer science at Delft University of Technology and did his Ph.D. in theoretical computer science at the Vrije Universiteit in Amsterdam. He held positions at the University of Twente, the University of Nijmegen, McMaster University (Canada), the Vrije Universiteit Brussels (Belgium), and at NIAS in Wassenaar. During some years he was scientific advisor of Philips Research Europe. Presently he is member of the Human Media Interaction group of the University of Twente. His main research interests are multi- party interaction, multimodal interaction, brain- computer interfacing and entertainment computing.
Marc Mehu Research interests: the study of social behaviour and emotion from an evolutionary perspective. PhD in Evolutionary Psychology from the University of Liverpool, where he investigated the social function of smiling and laughter. Postdoctoral position in the Department of Psychology, University of Geneva and later at the Swiss Center for Affective Sciences. Works on several research projects that involve the study of facial expression (using FACS) displayed during emotional episodes, the impact of social factors on the display and perception of different forms of smiles, and the automatic processing of social signals in human interactions (as part of the European Network of Excellence SSPNet). Hannes Högni Vilhjámsson Reykjavík University. Doing research in the area of intelligent avatars and interactive virtual environments with emphasis on social interaction and online collaboration. Before arriving at Reykjavík University, he spent three years as a Research Scientist at University of Southern California s Information Sciences Institute (ISI) where I was a member of the Center for Advanced Research on Technology for Education (CARTE). In 2005 he co- founded Alelo Inc., a Los Angeles based start- up in social training technologie. Ph.D. in Media Arts and Sciences from the MIT Media Laboratory in 2003. His dissertation dealt with how to improve online collaboration in shared virtual environments by using a model of face- to- face conversation to animate avatars, representing each of the participants.
Claes Strannegård Research interests intersection between Artificial Intelligence and cognitive psychology. Research projects: Bounded Logic. The project explores human reasoning in logic using standard methods of experimental and cognitive psychology. Transparent Neural Networks - a new type of artificial neural network, called transparent neural networks. The project grew out of an attempt to develop neural networks that are accessible to the human mind. Psychometric AI. The project we tries to make programs that score high on IQ tests.