MARC record from Internet Archive

LEADER: 10443cam 2201213Ii 4500
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003 OCoLC
005 20220523134534.0
008 150427t20152015caua fob 000 0 eng d
006 m eo d
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019 $a908073557$a908853506
020 $a9781627057523$q(electronic bk.)
020 $a1627057528$q(electronic bk.)
020 $z9781627057516$q(print)
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024 7 $a10.2200/S00636ED1V01Y201503HCI030$2doi
035 $a(OCoLC)908032134$z(OCoLC)908073557$z(OCoLC)908853506
037 $aCL0500000590$bSafari Books Online
050 4 $aQA76.9.U83$bO936 2015
072 7 $aCOM$x070000$2bisacsh
082 04 $a005.437$223
100 1 $aOviatt, Sharon,$eauthor.
245 14 $aThe paradigm shift to multimodality in contemporary computer interfaces /$cSharon Oviatt, Philip R. Cohen.
264 1 $aSan Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) :$bMorgan & Claypool Publishers,$c[2015]
264 4 $c©2015
300 $a1 online resource (xxii, 221 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aSynthesis lectures on human-centered informatics,$x1946-7699 ;$v#30
500 $aPart of: Synthesis digital library of engineering and computer science.
588 0 $aOnline resource; title from PDF title page (Morgan & Claypool, viewed on April 26, 2015).
504 $aIncludes bibliographical references (pages 173-219).
505 0 $a1. Definition and types of multimodal interface.
505 8 $a2. History of paradigm shift from graphical to multimodal interfaces -- 2.1 Early multimodal interfaces -- 2.2 Later advanced multimodal interfaces -- 2.3 Recent mobile devices with multimodal interfaces.
505 8 $a3. Aims and advantages of multimodal interfaces -- 3.1 User preference and natural interaction patterns -- 3.2 Flexible interaction patterns -- 3.3 Accommodation of individual differences -- 3.4 Efficiency -- 3.5 Superior error handling -- 3.6 Minimization of cognitive load -- 3.7 Expressive power and stimulation of cognition.
505 8 $a4. Evolutionary, neuroscience, and cognitive foundations of multimodal interfaces -- 4.1 Evolution of multimodal perceptual and communication abilities -- 4.2 Neuroscience and behavioral research on multisensory processes -- 4.3 Cognitive science and multimodal human-computer interaction research -- 4.3.1 Frequency and occurrence of multimodal interaction -- 4.3.2 Multimodal integration and synchronization patterns -- 4.3.3 Individual and cross-cultural differences in integration patterns -- 4.3.4 Complementarity versus redundancy in multimodal integration.
505 8 $a5. Theoretical foundations of multimodal interfaces -- 5.1 Gestalt theory: greater multimodal coherence, stability, and robustness -- 5.2 Affordance theory: multimodal interfaces guide human communication and activity -- 5.3 Communication accommodation theory: multimodal dialogue convergence improves intelligibility -- 5.4 Working memory theory: distributed multimodal processing improves memory -- 5.5 Cognitive load theory: multimodal processing minimizes load -- 5.6 Activity theory: intensity of multimodal communication stimulates thought.
505 8 $a6. Human-centered design of multimodal interfaces -- 6.1 Methods for prototyping and evaluating multimodal interfaces -- 6.2 Human-centered philosophy and strategies for multimodal interface design -- 6.3 Community-based participatory design of global multimodal interfaces.
505 8 $a7. Multimodal signal processing, fusion, and architectures -- 7.1 Dimensions of modality fusion -- 7.1.1 Why fuse? -- 7.1.2 What to fuse? -- 7.1.3 When and how to fuse? -- 7.2 Fusion architectures -- 7.3 Multimodal emotion recognition example.
505 8 $a8. Multimodal language, semantic processing, and multimodal integration -- 8.1 Multimodal language -- 8.2 Semantic processing and multimodal integration -- 8.2.1 Meaning representations -- 8.2.2 Meaning combination -- 8.3 Evaluation of multimodal integration -- 8.4 Principles for strategizing multimodal integration.
505 8 $a9. Commercialization of multimodal interfaces -- 9.1 Automotive interfaces -- 9.2 Geospatial and design interfaces -- 9.3 Virtual assistant interfaces -- 9.4 Robotic interfaces -- 9.5 Multi-biometric interfaces -- 9.6 Educational interfaces -- 9.7 Entertainment and gaming interfaces -- 9.8 Warehouse automation interfaces -- 9.9 International standards and commercial toolkits -- 9.10 Organizational resistance to adopting new technologies.
505 8 $a10. Emerging multimodal research areas and applications -- 10.1 Tangible, ubiquitous, and wearable multimodal interfaces -- 10.2 Multimodal affect recognition -- 10.3 Multimodal learning analytics and education -- 10.4 Multimodal accessible interfaces -- 10.5 Multimodal virtual agents and robotic interfaces.
505 8 $a11. Beyond multimodality: designing more expressively powerful interfaces -- 11.1 Impact of interface support for expressing multiple representations -- 11.1.1 Ideational fluency -- 11.1.2 Problem solving -- 11.1.3 Inferential accuracy -- 11.1.4 Beyond average: reducing the performance gap between users -- 11.2 Explanatory theory and interface design principles -- 11.3 Future directions: interface support for expressing world linguistic codes.
505 8 $a12. Conclusions and future directions -- Bibliography -- Author biographies.
520 3 $aDuring 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.
650 0 $aMultimodal user interfaces (Computer systems)
650 0 $aHuman-computer interaction.
650 6 $aInterfaces utilisateurs multimodales (Systèmes informatiques)
650 7 $aCOMPUTERS$xUser Interfaces.$2bisacsh
650 7 $aHuman-computer interaction.$2fast$0(OCoLC)fst00963494
650 7 $aMultimodal user interfaces (Computer systems)$2fast$0(OCoLC)fst01747203
653 $amultimodal interface
653 $amultimodal-multisensor interface
653 $anew media
653 $amobility
653 $aexpressive power
653 $ahuman-centered
653 $acommunication interfaces
653 $acognition and performance
653 $amultisensory perception
653 $adesign prototyping
653 $adata-intensive systems
653 $asignal processing
653 $asemantic integration
653 $atime-sensitive processing
653 $ahybrid architectures
653 $acommercialization
653 $asmart phones and mobile devices
653 $awearable technology
653 $atechnology paradigm shift
653 $atheoretical foundations
655 0 $aElectronic books.
655 4 $aElectronic books.
700 1 $aCohen, Philip R.,$eauthor.
776 08 $iPrint version:$aOviatt, Sharon.$tParadigm shift to multimodality in contemporary computer interfaces.$d[San Rafael, California] : Morgan & Claypool Publishers, 2015$z162705751X$w(OCoLC)939401932
830 0 $aSynthesis digital library of engineering and computer science.
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