Live delivery of neurosurgical operating theater experience in virtual reality

A system for assisting in microneurosurgical training and for delivering interactive mixed reality surgical experience live was developed and experimented in hospital premises. An interactive experience from the neurosurgical operating theater was presented together with associated medical content on virtual reality eyewear of remote users. Details of the stereoscopic 360‐degree capture, surgery imaging equipment, signal delivery, and display systems are presented, and the presence experience and the visual quality questionnaire results are discussed. The users reported positive scores on the questionnaire on topics related to the user experience achieved in the trial.     

Tracking Context Changes through Meta-Learning

The article deals with the problem of learning incrementally (on-line) in domains where the target concepts are context-dependent, so that changes in context can produce more or less radical changes in the associated concepts. In particular, we concentrate on a class of learning tasks where the domain provides explicit clues as to the current context (e.g., attributes with characteristic values). A general two-level learning model is presented that effectively adjusts to changing contexts by trying to detect (via meta-learning) contextual clues and using this information to focus the learning process. Context learning and detection occur during regular on-line learning, without separate training phases for context recognition. Two operational systems based on this model are presented that differ in the underlying learning algorithm and in the way they use contextual information: METAL(B) combines meta-learning with a Bayesian classifier, while METAL(IB) is based on an instance-based learning algorithm. Experiments with synthetic domains as well as a number of real-world problems show that the algorithms are robust in a variety of dimensions, and that meta-learning can produce substantial increases in accuracy over simple object-level learning in situations with changing contexts.     

Human language technology and communicative disabilities: requirements and possibilities for the future

For some years now, the Nederlandse Taalunie (Dutch Language Union) has been active in promoting the development of human language technology (HLT) applications for speakers of Dutch with communicative disabilities. The reason is that HLT products and services may enable them to improve their communication skills and verbal autonomy. We sought to identify a minimum common set of HLT resources that is required to develop tools for a wide range of communication disabilities. In order to reach this goal, we investigated the specific needs of communicatively disabled people and related these needs to the underlying HLT software components. By analysing the availability and quality of these essential HLT resources, we were able to identify which of the crucial elements need further research and development to become usable for developing applications for communicatively disabled speakers of Dutch. The results obtained in the current survey can be used to inform policy institutions on how they can stimulate the development of HLT resources for this target group. In the current survey results were obtained for Dutch, but a similar approach can also be applied to other languages.     

A posteriori error estimators for the fully discrete time dependent Stokes problem with some different boundary conditions

In this paper we study the time dependent Stokes problem with some different boundary conditions. We establish a decoupled variational formulation into a system of velocity and a Poisson equation for the pressure. Hence, the velocity is approximated with curl conforming finite elements in space and Euler scheme in time and the pressure with standard continuous elements in space and Euler scheme in time. Finally, we establish optimal a priori and a posteriori estimates.     

Abstract argumentation

In this paper we explore the thesis that the role of argumentation in practical reasoning in general and legal reasoning in particular is to justify the use of defeasible rules to derive a conclusion in preference to the use of other defeasible rules to derive a conflicting conclusion. The defeasibility of rules is expressed by means of non-provability claims as additional conditions of the rules.We outline an abstract approach to defeasible reasoning and argumentation which includes many existing formalisms, including default logic, extended logic programming, non-monotonic modal logic and auto-epistemic logic, as special cases. We show, in particular, that the admissibility semantics for all these formalisms has a natural argumentation-theoretic interpretation and proof procedure, which seem to correspond well with informal argumentation.In the admissibility semantics there is only one way for one argument to attack another, namely by undermining one of its non-provability claims. In this paper, we show how other kinds of attack between arguments, specifically how rebuttal and priority attacks, can be reduced to the undermining of non-provability claims.     

Objective evaluation of qualified viewing spaces for near‐to‐eye and autostereoscopic two‐view displays

Abstract— Virtual‐image (near‐to‐eye) and two‐view autostereoscopic (3‐D) displays share similar optical properties in the comfortable user position for viewing. In this paper, the definitions and criteria of qualified viewing space (QVS) and qualified stereoscopic viewing space (QSVS) are discussed. Due to the complex nature of these viewing spaces, the related presumptions and the required optical characteristics and their measurements are specified. The effects of different display and observer parameters, such as interpupillary distance, to the resulting viewing spaces are discussed. Finally, real measurement data of two autostereoscopic display devices are presented.     

A Nonformal Interactive Therapeutic Multisensory Environment for People With Cerebral Palsy

A new multisensory system that aims at fostering the interaction of people with cerebral palsy is presented. This article describes the strategies and technologies used to provide people who have moderate to severe cerebral palsy with playful and fun activities designed according to their abilities. These activities are based on interactive systems that use computer vision and generate graphics and sounds in real time. The well-being that is achieved through the use of these activities is the result of gaining a significant degree of autonomy by the users. The presented system was first developed in the Cerebral Palsy Centre of Tarragona, Spain. Its motivation came from the low rate of users able to interact with computers. Although several assistive technology gadgets and special software applications (e.g., cause–effect and educational activities, simple navigation environments, etc.) were used, most users simply did not understand the interaction mechanisms. It was thought that a highly interactive activity (reinforced with sounds and images closely related with gestures) would be more accessible to most users in spite of their sensory, motor, and cognitive impairments. Tests with impaired users show that the proposal promotes participation, engagement, and play. In this article, the experimental methodology, the used and developed tools, and the results that were obtained are explained.     

Flood regulation using nonlinear model predictive control

In this paper the flood problem of the river Demer, a river located in Belgium, is discussed. First a simplified model of the Demer basin is derived based on the conceptual reservoir modeling concept. This model was calibrated to simulations results with a more detailed full hydrodynamic model. Afterwards, the focus is shifted to a nonlinear model predictive controller (NMPC) which is based on a new semi-condensed optimization procedure combined with a line search approach. Finally, simulations are performed based on historical data in which the NMPC is compared with the current control strategy used by the local water administration. Uncertainties are added to the rainfall predictions in order to assess the robustness of the NMPC.     

Guest Editorial

The extreme high speed of change in the area of information technology creates a new demand for a process of continues learning and relearning in the workplaces but also among the public as a whole. There is need for a deeper crossdisciplinary and interdisciplinary understanding of the effects of this extreme demand for learning and relearning, both on us as individuals, on public and private organization and on the society as a whole. Information technology provides to some extent possible solutions to the problems it creates. Consequently, web based learning is also expanding with an accelerating speed. But this new form of learning is not to the same extent backed up by a fast growing research, in areas like on-the job-learning, workplace pedagogics, 'competence ergonomics', etc. But there are a number of very good exceptions like the Knowledge Media Institute of the Open University, and also a number of newly established facilities like the network university in the north of Sweden, the Mid Sweden University. In this special issue these types of problems are discussed, including those where the emphasis lies in creating rational and effective methods for web-based training and learning. The following was put forward in the invitation to a particular target group for this special issue.