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The Handbook of Multimodal-Multisensor Interfaces, Volume 1 - Foundations, User Modeling, and Common Modality Combinations (Hardcover)
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The Handbook of Multimodal-Multisensor Interfaces, Volume 1 - Foundations, User Modeling, and Common Modality Combinations (Hardcover)
Series: ACM Books
Expected to ship within 12 - 19 working days
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The Handbook of Multimodal-Multisensor Interfaces provides the
first authoritative resource on what has become the dominant
paradigm for new computer interfaces- user input involving new
media (speech, multi-touch, gestures, writing) embedded in
multimodal-multisensor interfaces. These interfaces support smart
phones, wearables, in-vehicle and robotic applications, and many
other areas that are now highly competitive commercially. This
edited collection is written by international experts and pioneers
in the field. It provides a textbook, reference, and technology
roadmap for professionals working in this and related areas. This
first volume of the handbook presents relevant theory and
neuroscience foundations for guiding the development of
high-performance systems. Additional chapters discuss approaches to
user modeling and interface designs that support user choice, that
synergistically combine modalities with sensors, and that blend
multimodal input and output. This volume also highlights an
in-depth look at the most common multimodal-multisensor
combinations-for example, touch and pen input, haptic and
non-speech audio output, and speech-centric systems that co-process
either gestures, pen input, gaze, or visible lip movements. A
common theme throughout these chapters is supporting mobility and
individual differences among users. These handbook chapters provide
walk-through examples of system design and processing, information
on tools and practical resources for developing and evaluating new
systems, and terminology and tutorial support for mastering this
emerging field. In the final section of this volume, experts
exchange views on a timely and controversial challenge topic, and
how they believe multimodal-multisensor interfaces should be
designed in the future to most effectively advance human
performance.
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