Multimodal User Interface in E-Learning Environments: A Proposed Architecture

TL;DR: This chapter presents a novel approach to model protocol properties of embedded application in terms of Input-Output Symbolic Transition Systems (IOSTS) and shows how they can be tested on real execution traces taking into account the data and control portions.

TL;DR: This article used morphosyntactic wavelet technology to improve the understanding of concurrent phenomena, which underlie linguistic reasoning, in the process of language acquisition and generation, which is complex and non-linear.

TL;DR: Resgata a trajetória do Núcleo de Informática Aplicada à Educação (NIED) desde a sua criação em 1983 até os dias atuais, apresentando reflexões sobre 25 projetos.

TL;DR: This work proposes to apply multi-modal interaction in the Ae e-learning environment to build an elearning environment with multimodal interaction: the |Ae|.

TL;DR: The chapter starts with the features and advantages associated with multimodal interaction, with a focus on particular findings and guidelines, as well as cognitive foundations underlying multimodAL interaction, and focuses on the driving theoretical principles, time-sensitive software architectures and multimodals fusion and fission issues.

TL;DR: The author discusses enhanced robustness for three multimodal interface types: speech and pen, speech and lip movements, and multibiometric (physiological and behavioral) input.

TL;DR: The WAMI toolkit is presented, which provides a framework for developing, deploying, and evaluating Web-Accessible Multimodal Interfaces in which users interact using speech, mouse, pen, and/or touch.

TL;DR: Evidence is provided for the validity of the method by using it to derive six well-known architectures from the areas of user interface software and compiler construction and the relationship between the unit operations and a set of eight non-functional qualities is explored.