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In the field of Human-Computer Interaction, the Personas methodology is used to communicate the user's preferences, goals, frustrations and requirements. Although a widely used method, little progress has been made in creating a personas model. This paper aims to provide such a conceptual model, which includes concepts and properties used in the personas methodology, via an OWL specification.
This paper presents the results of an ongoing project whose objective is to develop a model and a simulation that, used as Decision Support System, aid the heads of Hospital Emergency Departments to make the best informed decisions possible. The defined model is a pure Agent-Based Model, formed entirely of the rules governing the behavior of the agents that populate the system. Two distinct types...
Intelligent agents or non-player characters (NPCs) in human interaction scenarios are required to react in ways that are consistent to the training scenario. In many cases these NPCs are controlled by a simple state machine and scripts. The use of these techniques leads to responses that are of poor quality and machine driven. In our work we aim to design a model for incorporating emotional enhancements...
It is argued that creating better system transparency leads to an increased understanding of a system, which gives users better indicators for placing their trust. This way of thinking is behind the author's interest for open systems. By opening up the source, the interfaces, the standardisation or the operational data, one gains the ability to better understand, and therefore to potentially trust,...
Millions of text contents and multimedia published on the Web have potential to be shared as the learning contents. However, mobile learners often feel it difficult to extract useful contents for learning. Manually creating content not only requires a huge effort on the part of the teachers but also creates barriers towards reuse of the content that has already been created for e-Learning. In this...
In this paper, a simple method to extract regions of interest (ROI) from images is proposed. In the field of image processing, intensity, color and orientation are commonly used features for saliency map generation in most visual attention model. However, texture feature can contribute to the guidance of attention in a bottom-up model. We consider texture contrast as a component of final saliency...
Multimedia applications like retrieval, copy detection etc. can gain from saliency detection, which is essentially a method to identify areas in images and videos that capture the attention of the human visual system. In this paper, we propose a new spatiotemporal saliency framework for videos based on sparse representation. For temporal saliency, we model the movement of the target patch as a reconstruction...
Image saliency attempts to describe the most conspicuous part in an input image by mimicking human visual selective attention mechanism. Naturally, it could be adopted for improving object recognition. To demonstrate the effectiveness of saliency in object recognition, this paper proposes a salient hierarchical model. First, the traditional saliency model is modified for more robust saliency estimation...
In this paper, a scheme is proposed for solving segmentation problem when people engage in body contact in a video sequence. First, the body parts belonging to each interacting person are extracted using the deformable triangulation technique. The color blobs of each person are learned by Gaussian mixtures model on the fly before the person is interacting with another. Finally, those learned blob...
System of systems comprises interacting, heterogeneous, autonomous components with incomplete information about their inner states, and about the surrounding environment. Many interactions are often not rigorously defined, and change dynamically. System of systems usually exhibits emergent behavior that cannot be predicted by analyzing static properties of the components, and is not always permissible...
Selective visual attention is a kind of mechanism of the primate visual system for rapidly focusing on attractive objects or regions in visual environment. Numerous visual attention models have been developed and optimized over the past decades. Most of the existing models concentrate on static monocular image, but little attention has been devoted to stereo depth information which is an important...
An algorithm is a consequence of logical instructions that, once executed, reduce to a result and it is not always evident to good understand its functioning. The progression of the technologies of information and communication and its availability in the teaching and in the learning offer the possibility to put at the disposal of the learners the tools that facilitate their learning. The algorithmic...
Office advanced application curriculum is a strong operational and practical course. It is hard to master the knowledge of office using traditional teaching mode. To solve this issue, a teaching model based on activity theory is proposed. In order to further understand the application of activity theory in office teaching, the teaching design of PowerPoint was discussed in this paper. The teaching...
Visual attention is useful for computer vision and it has been applied in image compression and object recognition. In existing methods on saliency detection, most of them are unrelated to the depth feature. So we propose a bottom-up saliency detection model that combines the depth feature with region contrast based saliency model and the precision and recall rate of our algorithm is higher than those...
The effective connectivity among overlapped core regions recruited by motor imagery (MI) was explored by means of Granger causality and graph-theoretic method, based on Electroencephalography (EEG) data. In this paper, causal connectivity brain network (CCBN) was proposed for the classification of motor imagery for brain¨Ccomputer interface applications, by means of source analysis of scalp-recorded...
Recently, software practitioners, using model-based engineering and similar methods, have begun developing software from models. After creating a model of the required system behavior, a developer can obtain assurance of the model by validating that it captures the intended behavior and verifying that it satisfies critical properties. Invariants are important to both validation, as a check that the...
In this paper we propose a model to represent and manage affective / emotional feedback. This model represents a set of emotions which is assumed to play a major role for learning processes. The emotions are to be identified during the learning phase. To achieve these objectives, we have considered primarily: i) Methods and techniques to assess and identify affectivity/emotivity in ITS (Intelligent...
Avestan is a declarative modelling language compatible with SMT-LIB. SMT-LIB is an standard input language that is supported by the state-of-the-art satisfiability modulo theory solvers (SMT solvers). The recent advances in SMT solvers have introduced them as efficient analysis tools; as a result, they are becoming more popular in the verification and certification of digital products. SMT-LIB was...
This paper proposes a novel system to assist human image analysts to effectively browse and search for objects in a camera network. In contrast to the existing approaches that focus on finding global trajectories across cameras, the proposed approach directly models the relationship among raw camera observations. A graph model is proposed to represent detected/tracked objects, their appearance and...
Traditionally software development is concerned with the computer as the sole computational agent. Here both the environment and problem are well understood and thus the emphasis is on the abstract specification. However, there is an increasing awareness of the central importance of sense-making activities throughout the software lifecycle. For this, flexible modeling tools are needed to address the...
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