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Contextual Design is a user-centered design process that uses in-depth field research to drive innovative design. Contextual Design was first invented in 1988 and has since been used in a wide variety of industries and taught in universities all over the world. It is a complete front-end design process rooted in Contextual Inquiry, the widespread, industry-standard field data gathering technique. Contextual Design adds techniques to analyze and present user data, drive ideation from data, design specific product solutions, and iterate those solutions with customers.

In 2013, we overhauled the method to account for the way that technology has radically changed people’s lives since the invention of the touchscreen phones and other always-on, always-connected, and always-carried devices. This book describes the new Contextual Design, evolved to help teams design for the way technology now fits into peoples’ lives. We briefly describe the steps of the latest version of Contextual Design and show how they create a continual immersion in the world of the user for the purpose of innovative product design.

Table of Contents: Introduction / Design for Life / Field Research: Data Collection and Interpretation / Consolidation and Ideation: The Bridge to Design / Detailed Design and Validation / Conclusion / References / Author Biographies

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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.