The Handbook of Multimodal-Multisensor Interfaces, Volume 1
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Home > Computing and Information Technology > Computer science > Human–computer interaction > The Handbook of Multimodal-Multisensor Interfaces, Volume 1: Foundations, User Modeling, and Common Modality Combinations
The Handbook of Multimodal-Multisensor Interfaces, Volume 1: Foundations, User Modeling, and Common Modality Combinations

The Handbook of Multimodal-Multisensor Interfaces, Volume 1: Foundations, User Modeling, and Common Modality Combinations


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About the Book

Table of Contents:
Introduction Theory and Neuroscience Foundations Theoretical Foundations of Multimodal Interfaces and Systems The Impact of Multimodal-Multisensory Learning on Human Performance and Brain Activation Patterns Approaches to Design and User Modeling Multisensory Haptic Interactions: Understanding the Sense and Designing for It A Background Perspective on Touch as a Multimodal Understanding and Supporting Modality Choices Using Cognitive Models to Understand Multimodal Processes: The Case for Speech and Gesture Production Multimodal Feedback in HCI: Haptics, Non-Speech Audio, and Their Applications Multimodal Technologies for Seniors: Challenges and Opportunities Common Modality Combinations Gaze Informed Multimodal Interaction Multimodal Speech and Pen Interfaces Multimodal Gesture Recognition Audio and Visual Modality Combination in Speech Processing Applications Multidisciplinary Challenge Topic: Perspectives on Learning with Multimodal Technology Contributors’ Brief Biographies: Editors, Authors and Challenge Discussants Index

About the Author :
Sharon Oviatt (Incaa Designs) is internationally known for her multidisciplinary work on multimodal and mobile interfaces, human-centered interfaces, educational interfaces and learning analytics. She has been recipient of the inaugural ACM-ICMI Sustained Accomplishment Award, National Science Foundation Special Creativity Award, and ACM-SIGCHI CHI Academy award. She has published over 160 scientific articles in a wide range of venues, and is an Associate Editor of the main journals and edited book collections in the field of human-centered interfaces. Her other books include The Design of Future Educational Interfaces (2013, Routledge) and The Paradigm Shift to Multimodality in Contemporary Computer Interfaces (2015, Morgan Claypool). Björn Schuller (University of Passau and Imperial College London) is currently Chair of Complex and Intelligent Systems at University of Passau and Reader in Machine Learning at Imperial College. He is best known for his work on multisensorial/multimodal intelligent signal processing for affective, behavioral, and human-centered computing. In 2015 and 2016, he was honored by the World Economic Forum as one of 40/50 extraordinary scientists under age 40. His further awards include the CHiME, MediaEval, and MIREX competitions. He has published over 500 peer-reviewed scientific contributions across a range of disciplines and venues, and is Editor-in-Chief of IEEE Transactions on Affective Computing. His books include Intelligent Audio Analysis (2013, Springer) and Computational Paralinguistics (2013, Wiley). Philip Cohen (VoiceBox Technologies) is Senior Vice President and Chief Scientist for Artificial Intelligence, whose research interests include multimodal interaction, human-computer dialogue, and multi-agent systems. He is a Fellow of the American Association for Artificial Intelligence, past President of the Association for Computational Linguistics, and recipient (with Hector Levesque) of an Inaugural Influential Paper Award by the International Foundation for Autonomous Agents and Multi-Agent Systems. He was the Founder of Adapx, Professor and Co-Director of the Center for Human-Computer Communication in Computer Science at Oregon Health and Science University, and Director of Natural Language in the Artificial Intelligence Center at SRI International. Daniel Sonntag (German Research Center for Artificial Intelligence, DFKI) is a Principal Researcher and Research Fellow. His research interests include multimodal and mobile AI-based interfaces, common-sense modeling, and semantic machine learning methods for cognitive computing and improved usability. He has published over 120 scientific articles, and has been recipient of the German High Tech Champion Award in 2011 and the AAAI Recognition and IAAI Deployed Application Award in 2013. He is an editorial board member of the German Journal on Artificial Intelligence (KI). Currently, he leads both national and European projects from the Federal Ministry of Education and Research, the Federal Ministry for Economic Affairs and Energy, and Horizon 2020. Gerasimos Potamianos (University of Thessaly) is Associate Professor and Director of Graduate Studies in Electrical and Computer Engineering. His research spans multisensory and multimodal speech processing and scene analysis, with applications to human-computer interaction and ambient intelligence. He has authored over 120 articles, and has seven patents. He holds a Diploma Degree from the National Technical University of Athens, and a M.Sc. and Ph.D. from the Johns Hopkins University, all in Electrical and Computer Engineering. In addition to his academic experience, he has worked at AT&T Research Labs, IBM T.J. Watson Research Center (US), and at the FORTH and NCSR 'Demokritos' Research Centers in Greece. Antonio Krüger (Saarland University and DFKI GmbH) is professor of Computer Science and Director of the Media Informatics Program at Saarland University, as well as Scientific Director of the Innovative Retail Laboratory at the German Research Center for Artificial Intelligence (DFKI). His research areas focus on intelligent user interfaces, and mobile and ubiquitous context-aware systems. He has been General Chair of the Ubiquitous Computing Conference, and Program Chair of MobileHCI, IUI, and Pervasive Computing. He also is the Steering Committee Chair of Intelligent User Interfaces (IUI), and an Associate Editor of the journals User Modeling and User-Adapted Interaction and ACM Interactive, Mobile, Wearable and Ubiquitous Technologies.


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Product Details
  • ISBN-13: 9781970001679
  • Publisher: Morgan & Claypool Publishers
  • Publisher Imprint: Morgan & Claypool Publishers
  • Height: 234 mm
  • No of Pages: 600
  • Spine Width: 35 mm
  • Weight: 1379 gr
  • ISBN-10: 1970001674
  • Publisher Date: 30 Jun 2017
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Sub Title: Foundations, User Modeling, and Common Modality Combinations
  • Width: 190 mm


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