다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

A wide variety of media can be used in learning, including distance learning, such as print, lectures, conference sections, tutors, pictures, video, sound, and computers. Any one instance of distance learning will make choices among these media, perhaps using several.

Multimedia in Learning

Durante la ultima decada el campo del aprendizaje multimediado ha emergido como una disciplina coherente basada en la investigacion. El Manual presenta un panorama actualizado y comprensivo de ambos. Este tipo de aprendizaje tiene lugar a traves de palabras (textos orales e impresos) e imagenes (ilustraciones, fotografias, mapas, animaciones, video). El Manual se centra en el modo en que se aprende con estos recursos en contextos mediados por la computadora.

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The Cambridge Handbook of Multimedia Learning

A system and method for identifying a specific RFID tag includes RFID reader circuitry, such as within an RFID reader, configured for sending and receiving RF signals to detect RFID tags and for obtaining signal parameter information associated with the RFID tags. Processing circuitry is configured for using the signal parameter information for one or more tags of the RFID tags and calculating a tag score for the one or more RFID tags. The processing circuitry is further configured for determining a specific RFID tag using the tag scores for the one or more RFID tags.

Method and system for correctly identifying specific RFID tags

Review Article: Multimodal interaction: A review

The apparatus has a receiver (200) for receiving input events from at least two different modality modules (23 to 30); a plurality of instruction determining units (201 b) each arranged to respond to a specific input event or specific combination of input events; and a supplier (201 a) supplying events received by the receiver to the instruction determining units (23 to 30), wherein each instruction determining unit (23 to 30) is operable to supply a signal for causing a corresponding instruction to be issued when the specific input event or specific combination of input events to which that instruction determining unit is responsive is received by that instruction determining unit.

Apparatus for managing a multi-modal user interface

Designing and implementing multimodal applications that take advantage of several recognitionbased interaction techniques (e.g. speech and gesture recognition) is a difficult task. The goal of our research is to explore how simple modelling techniques and tools can be used to support the designers and developers of multimodal systems. In this paper, we discuss the use of finite state machines (FSMs) for the design and prototyping of multimodal commands. In particular, we show that FSMs can help designers in reasoning about synchronization patterns problems. Finally, we describe an implementation of our FSM-based approach, in a toolkit whose aim is to facilitate the iterative process of designing, prototyping and testing multimodality.

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Designing and Prototyping Multimodal Commands.

Designing and implementing applications that can handle multiple recognition-based interaction technologies such as speech and gesture inputs is a difficult task. IMBuilder and MEngine are the two components of a new toolkit for rapidly creating and testing multimodal interface designs. First, an interaction model is specified in the form of a collection of finite state machines, using a simple graphical tool (IMBuilder). Then, this interaction model can be tested in a multimodal framework (MEngine) that automatically performs input recognition (speech and gesture) and modality integration. Developers can build complete multimodal applications without concerning themselves with the recognition engine internals and modality integration. Furthermore, several interaction models can be rapidly tested in order to achieve the best use and combination of input modalities with minimal implementation effort.

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A Toolkit for Creating and Testing Multimodal Interface Designs

http://www.eecs.qmul.ac.uk/~mlb/papers/HerrorHandling.pdf

Towards a taxonomy of error-handling strategies in recognition-based multi-modal human-computer interfaces

The current practice of designing the auditory mode in the user interface is poorly understood. In this survey, we aim at revealing the common understanding of the role of audio in human-computer interaction and how designers approach design tasks involving audio. We investigate which guidelines and principles participants use in their designs and which guidance is needed to improve the quality of auditory design. The responses are analysed and interpreted by quantitative and qualitative methods. The 86 participants enabled us to draw a relatively accurate picture of how the field is perceived and helped to identify problems in the design of efficient audio in the user interface. The results of the survey are subsequently developed into requirements for a methodological design framework, with the aim to provide easily accessible guidance for designers to integrate audio in the user interface.

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Marie-Luce Bourguet

Papers

Apparatus for managing a multi-modal user interface

Designing and Prototyping Multimodal Commands.

A Toolkit for Creating and Testing Multimodal Interface Designs

Towards a taxonomy of error-handling strategies in recognition-based multi-modal human-computer interfaces

A survey on common practice in designing audio in the user interface