Eye Movements Disclose Decisions in Set

During the past several decades, much research has been done in the field of visual attention and cognitive processing, i.e., how does the human brain process visual stimuli. We show that the card game SET is a good candidate for investigating the relation between top-down versus bottom-up visual information processing. Further, we show that...

Service Specification and Matchmaking using Description Logic (extended abstract)

E-learning in virtual communities

In recent years many systems for distance learning have been developed. Even though students have access to learning material any time and any place, current tools for e-learning still have their limitations. The main shortcoming, compared to real life learning is the limited opportunity for human like interaction between student, teacher and...

Computed Ontology-based Situation Awareness of Multi-User Observations

In recent years, we have developed a framework of human-computer interaction that offers recognition of various communication modalities including speech, lip movement, facial expression, handwriting/drawing, gesture, text and visual symbols. The framework allows the rapid construction of a multimodal, multi-device, and multi-user communication...

Crowd control by multiple cameras

One of the goals of the crowd control project at Delft University of Technology is to detect and track people during a crisis event, classify their behavior and assess what is happening. The assumption is that the crisis area is observed by multiple cameras (fixed or mobile). The cameras sense the environment and extract features such as the...

Crisis Decision Making Through a Shared Integrative Negotiation Mental Model

Decision making during crises takes place in (multi-agency) teams, in a bureaucratic political context. As a result, the common notion that during crises decision making should be done in line with a Command & Control structure is invalid. This paper shows that the best way for crisis decision making teams in a bureaucratic political context is...

Cover song retrieval: A comparative study of system component choices

The Cover Song Retrieval (CSR) problem has received considerable attention in the MIREX 2006-2008 evaluation sessions. While the reported performance figures provide a general idea about the strengths of the submitted systems, it is not clear what actually causes the reported performance of a certain system. In other words, the question...

Biclustering Sparse Binary Genomic Data

Genomic datasets often consist of large, binary, sparse data matrices. In such a dataset, one is often interested in finding contiguous blocks that (mostly) contain ones. This is a biclustering problem, and while many algorithms have been proposed to deal with gene expression data, only two algorithms have been proposed that specifically deal...

Exploring Heuristic Action Selection in Agent Programming (extended abstract)

Rational agents programmed in agent programming languages derive their choice of action from their beliefs and goals. One of the main benefits of such programming languages is that they facilitate a highlevel and conceptually elegant specification of agent behaviour. Qualitative concepts alone, however, are not sufficient to specify that this...

Opponent Modelling in Automated Multi-Issue Negotiation Using Bayesian Learning (extended abstract)

In this paper, we show that it is nonetheless possible to construct an opponent model, i.e. a model of the opponent’s preferences that can be effectively used to improve negotiation outcomes. We provide a generic framework for learning both the preferences associated with issue values as well as the weights that rank the importance of issues to...

Individualism and Collectivism in Trade Agents (extended abstract)

This paper was originally presented at IEA/AIE 2008 [1]. The current paper is an extended abstract for presentation at BNAIC 2008. Agent-Based Modeling can contribute to the understanding of international trade processes. Models for the effects of culture and cultural differences on agent behavior are required for realistic agent-based...

A Hybrid Approach to Sign Language Recognition (extended abstract)

Methods commonly used for speech and sign language recognition often rely on outputs of Hidden Markov Models (HMM) or Dynamic TimeWarping (DTW) for classification, which aremerely factorized observation likelihoods. Instead, we propose to use Statistical DTW (SDTW) only for warping, while classifying the synchronized features with either of two...

An automated text-based synthetic face with emotions for web lectures

Web lectures have many positive aspects, e.g. they enable learners to easily control the learning experiences). To develop high-quality online learning materials takes a lot of time and human efforts [2]. An alternative is to develop a digital teacher. We have developed a prototype of a synthetic 3D face that shows emotion associated to text...

The recognition of emotions from speech using GentleBoost classifier: A comparison approach

The recognition of the internal emotional state of one person plays an important role in several human-related fields. Among them, human-computer interaction has recently received special attention. The current research is aimed at the analysis of segmentation methods and of the performance of the GentleBoost classifier on emotion recognition...

An audio-visual corpus for multimodal speech recognition in Dutch language

This paper describes the gathering and availability of an audio-visual speech corpus for Dutch language. The corpus was prepared with the multi-modal speech recognition in mind and it is currently used in our research on lip-reading and bimodal speech recognition. It contains the prompts used also in the well-established POLYPHONE corpus and...