This paper presents a detailed examination of learning transfer from an English for Specific Academic Purposes course to authentic discipline-specific writing tasks. To enhance transfer practices, a new approach in planning writing tasks and materials selection was developed. Concerning the conventions of studies in learning transfer that acknowledge different learning preferences, the instruct...

Multimodal interaction provides the user with multiple modes of interacting with a system, such as gestures, speech, text, video, audio, etc. A multimodal system allows for several distinct means for input and output of data. In this paper, we present our work in the context of the I-SEARCH project, which aims at enabling context-aware querying of a multimodal search framework including real-wo...

Toward effective information distribution through WWW and a new style of multimodal media, we are conducting researches on multimodal presentation using lifelike character agents. As part of our research, we have developed MPML (Multimodal Presentation Markup Language), which allows the users to write multimodal contents with ease. By extending MPML, we have designed MPML-VR (Multimodal Present...

This article proposes a framework that will help analyze current and future output multimodal user interfaces. We first define an output multimodal system. We then present our framework that identifies several different combinations of modalities and their characteristics. This framework assists in the selection of the most appropriate modalities for achieving efficient multimodal presentations...

The Multimodal Virtual Assistant (MVA) is an application that enables users to plan an outing through an interactive multimodal dialog with a mobile device. MVA demonstrates how a cloud-based multimodal language processing infrastructure can support mobile multimodal interaction. This demonstration will highlight incremental recognition, multimodal speech and gesture input, contextually-aware l...

Mobile interfaces need to allow the user and system to adapt their choice of communication modes according to user preferences, the task at hand, and the physical and social environment. We describe a multimodal application architecture which combines finite-state multimodal language processing, a speech-act based multimodal dialogue manager, dynamic multimodal output generation, and user-tailo...

Multimodal biometrics system becomes an inexorable trend in future. Multimodal biometrics overcomes many drawbacks over unimodal biometrics. Some of the drawbacks are non-universality, noisy data and spoof attack. Multimodal biometric is more efficient and accurate than unimodal system. In this paper we present a multimodal biometric recognition system using Iris and finger Inner-knuckle print....

Multimodal question answering in the cultural heritage domain allows visitors to museums, landmarks or other sites to ask questions in a more natural way. This in turn provides better user experiences. In this paper, we propose the construction of a golden standard dataset dedicated to aiding research into multimodal question answering in the cultural heritage domain. The dataset, soon to be re...

A system is classified as multimodal if its language has more than one modal operator as primitive, and such operators are not interdefinable. We extend the anodic and cathodic modal systems, introduced in [BS09a] and [BS10], to a class of the so-called basilar multimodal systems generating, in this way, the classes of anodic and cathodic multimodal logics. The cathodic multimodal systems are d...