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This paper presents an overview of our ongoing work on dialogue-act classification. Results are presented on the ICSI, Switchboard, and on a selection of the AMI corpus, setting a baseline for forthcoming research. For these corpora the best accuracy scores obtained are 89.27%, 65.68% and 59.76%, respectively. We introduce a smart compression technique for(More)
This paper presents our efforts to create argument structures from meeting transcripts automatically. We show that unit labels of argument diagrams can be learnt and predicted by a computer with an accuracy of 78,52% and 51,43% on an unbalanced and balanced set respectively. We used a corpus of over 250 argument diagrams that was manually created by(More)
We address the problem of automatically detecting participant's influence levels in meetings. The impact and social psychological background are discussed. The more influential a participant is, the more he or she influences the outcome of a meeting. Experiments on 40 meetings show that application of statistical (both dynamic and static) models while using(More)
Virtual meeting rooms are used for simulation of real meeting behavior and can show how people behave, how they gesture, move their heads, bodies, their gaze behavior during conversations. They are used for visualising models of meeting behavior, and they can be used for the evaluation of these models. They are also used to show the effects of controlling(More)
In current meeting research we see modest attempts to visualize the information that has been obtained by either capturing and, probably more importantly, by interpreting the activities that take place during a meeting. The meetings being considered take place in smart meeting rooms. Cameras, microphones and other sensors capture meeting activities.(More)
This paper presents a framework for corpus based multi-modal research. Part of this framework is applied in the context of meeting modelling. A generic model for different aspects of meetings is discussed. This model leads to a layered description of meetings where each layer adds a level of interpretation for distinct aspects based on information provided(More)
This paper gives an overview of pro-active meeting assistants, what they are and when they can be useful. We explain how to develop such assistants with respect to requirement definitions and elaborate on a set of Wizard of Oz experiments, aiming to find out in which form a meeting assistant should operate to be accepted by participants and whether the(More)
An experiment was conducted to investigate whether human observers use knowledge of the differences in focus of attention in multiparty interaction to identify the speaker amongst the meeting participants. A virtual environment was used to have good stimulus control. Head orientations were displayed as the only cue for focus attention. The orientations were(More)
Current evaluation methods are inappropriate for emerging HCI applications. In this paper, we give three examples of these applications and show that traditional evaluation methods fail. We identify trends in HCI development and discuss the issues that arise with evaluation. We aim at achieving increased awareness that evaluation too has to evolve in order(More)