Mobile Multimodal User Interfaces

The “smart mobile” has become an essential and inseparable part of our lives. This powerful tool enables us to perform multi-tasks in different modalities of voice, text, gesture, etc. The user plays an important role in the mode of operation, so multimodal interaction provides the user with new complex multiple modalities of interfacing with a system, such as speech, touch, type and more. The book will discuss the new world of mobile multimodality, focusing on innovative technologies and design which create a state-of-the-art user interface. It will examine the practical challenges entailed in meeting commercial deployment goals, and offer new approaches to the designing such interfaces. A multimodal interface for mobile devices requires the integration of several recognition technologies together with sophisticated user interface and distinct tools for input and output of data. The book will address the challenge of designing devices in a synergetic fashion which does not burden the user or to create a technological overload.

"This book offers a variety of perspectives on multimodal user interface design, describes a variety of novel multimodal applications and provides several experience reports with experimental and industry-adopted mobile multimodal applications"--Provided by publisher.

tionship indicates how multimodal medical image processing can be unified to a large extent, e. g. multi-channel segmentation and image registration, and extend information theoretic registration to other features than image intensities. The framework is not at all restricted to medical images though and this is illustrated by applying it to multimedia sequences as well. In Chapter 4, the main results from the developments in plastic UIs and mul- modal UIs are brought together using a theoretic and conceptual perspective as a unifying approach. It is aimed at defining models useful to support UI plasticity by relying on multimodality, at introducing and discussing basic principles that can drive the development of such UIs, and at describing some techniques as proof-of-concept of the aforementioned models and principles. In Chapter 4, the authors introduce running examples that serve as illustration throughout the d- cussion of the use of multimodality to support plasticity.

The growing emphasis on multimodal interface design is fundamentally inspired by the aim to support natural, easy to learn and use, flexible, efficient, and powerfully expressive means of human-computer interaction. Most of the articles in this special issue present work in support of challenging applications such as algebra instruction, data summaries, and interaction with complex spatial displays. A collection of emerging research ideas on next-generation multimodal interfaces, it also addresses multimodal interface design for portable devices to be used in natural field settings. Additionally, it describes implemented systems that make computing accessible to the visually impaired.

The Graphical User Interface (GUI), as the most prevailing type of User Interface (UI) in today's interactive applications, restricts the interaction with a computer to the visual modality and is therefore not suited for some users (e.g., with limited literacy or typing skills), in some circumstances (e.g., while moving around, with their hands or eyes busy) or when the environment is constrained (e.g., the keyboard and the mouse are not available). In order to go beyond the GUI constraints, the Multimodal (MM) UIs apear as paradigm that provide users with great expressive power, naturalness and flexibility. In this thesis we argue that developing MM UIs combining graphical and vocal modalities is an activity that could benefit from the application of a methodology which is composed of: a set of models, a method manipulating these models and the tools implementing the method. Therefore, we define a design space-based method that is supported by model-to-model colored transformations in order to obtain MM UIs of information systems. The design space is composed of explicitly defined design options that clarify the development process in a structured way in order to require less design effort. The feasability of the methodology is demonstrated through three case studies with different levels of complexity and coverage. In addition, an empirical study is conducted with end-users in order to measure the relative usability level provided by different design decisions.

Written to address the technical concerns faced by mobile developers, this book explores the differences between mobile and stationary applications and the architectural and software development concepts needed to build mobile applications. Reza B'Far guides the developer through the development process, using UML from design to implementation. He focuses on general concepts, while using platforms as examples or as possible tools. After introducing UML, XML, and the derivative tools necessary for developing mobile software applications, B'Far demonstrates how to build user interfaces for mobile applications.

During the last decade, cell phones with multimodal interfaces based on combined new media have become the dominant computer interface worldwide. Multimodal interfaces support mobility and expand the expressive power of human input to computers. They have shifted the fulcrum of human-computer interaction much closer to the human. This book explains the foundation of human-centered multimodal interaction and interface design, based on the cognitive and neurosciences, as well as the major benefits of multimodal interfaces for human cognition and performance. It describes the data-intensive methodologies used to envision, prototype, and evaluate new multimodal interfaces. From a system development viewpoint, this book outlines major approaches for multimodal signal processing, fusion, architectures, and techniques for robustly interpreting users' meaning. Multimodal interfaces have been commercialized extensively for field and mobile applications during the last decade. Research also is growing rapidly in areas like multimodal data analytics, affect recognition, accessible interfaces, embedded and robotic interfaces, machine learning and new hybrid processing approaches, and similar topics. The expansion of multimodal interfaces is part of the long-term evolution of more expressively powerful input to computers, a trend that will substantially improve support for human cognition and performance. Table of Contents: Preface: Intended Audience and Teaching with this Book / Acknowledgments / Introduction / Definition and Typre of Multimodal Interface / History of Paradigm Shift from Graphical to Multimodal Interfaces / Aims and Advantages of Multimodal Interfaces / Evolutionary, Neuroscience, and Cognitive Foundations of Multimodal Interfaces / Theoretical Foundations of Multimodal Interfaces / Human-Centered Design of Multimodal Interfaces / Multimodal Signal Processing, Fusion, and Architectures / Multimodal Language, Semantic Processing, and Multimodal Integration / Commercialization of Multimodal Interfaces / Emerging Multimodal Research Areas, and Applications / Beyond Multimodality: Designing More Expressively Powerful Interfaces / Conclusions and Future Directions / Bibliography / Author Biographies