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Books on the topic 'Natural users interfaces'

Author: Grafiati

Published: 10 March 2023

Last updated: 31 July 2025

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1

B, Anderson Alan, and Construction Engineering Research Laboratories (U.S.), eds. LCTA users interface program users manual: Version 1.0. US Army Corps of Engineers, Construction Engineering Research Laboratories, 1995.

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2

Sabourin, Conrad. Natural language interfaces: Bibliography. Infolingua Inc., 1994.

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3

Sabourin, Conrad. Natural language interfaces: Bibliography. Infolingua, 1994.

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4

Ogiela, Marek R., and Tomasz Hachaj. Natural User Interfaces in Medical Image Analysis. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-07800-7.

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5

United States. National Aeronautics and Space Administration., ed. A natural language interface to databases. University of Alabama in Huntsville, 1990.

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6

Blake, Joshua. Natural user interfaces in .NET: WPF 4, Surface 2, and Kinect. Manning, 2011.

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7

Dennis, Wixon, ed. Brave NUI world: Designing natural user interfaces for touch and gesture. Morgan Kaufmann, 2011.

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8

Mihalcea, Rada. Graph-based natural language processing and information retrieval. Cambridge University Press, 2011.

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9

Sabourin, Conrad. Natural language interfaces: Interfaces to databases, to expert systems, to robots, to operating systems, and question-answering systems : bibliography. Infolingua, 1994.

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10

G, Bès Gabriel, and Guillotin T, eds. A Natural language and graphics interface: Results and perspectives from the ACORD project. Springer-Verlag, 1992.

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11

O, Mittal Vibhu, ed. Assistive technology and artificial intelligence: Applications in robotics, user interfaces, and natural language processing. Springer, 1998.

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12

Nutter, J. Terry. Design for a fully transportable natural language front-end to database management systems. Dept. of Computer Science, Virginia Polytechnic Institute and State University, 1989.

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13

Campbell, William J. The development of a prototype intelligent user interface subsystem for NASA's scientific database systems. Goddard Space Flight Center, 1987.

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14

Burns, Bridget A. A critical appraisal of natural language as the preferred interface style for database information retrieval for novice managerial users. The author], 1991.

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15

Twente, Workshop on Language Technology (5th 1993 Enchede Netherlands). Natural language interfaces: From laboratory to commercial and user environment : proceedings of the fifth Twent Workshop on Language Technology. University of Twente, 1993.

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16

Rieser, Verena. Reinforcement Learning for Adaptive Dialogue Systems: A Data-driven Methodology for Dialogue Management and Natural Language Generation. Springer-Verlag Berlin Heidelberg, 2011.

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17

Heinroth, Tobias. Introducing Spoken Dialogue Systems into Intelligent Environments. Springer New York, 2013.

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18

Zhou, Ming. Natural Language Processing and Chinese Computing: First CCF Conference, NLPCC 2012, Beijing, China, October 31-November 5, 2012. Proceedings. Springer Berlin Heidelberg, 2012.

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19

Pitt, Ian. Design of speech-based devices: A practical guide. Springer, 2003.

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20

service), SpringerLink (Online, ed. Computational Linguistics and Talking Robots: Processing Content in Database Semantics. Springer-Verlag Berlin Heidelberg, 2011.

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21

Aleš, Horák, Kopeček Ivan, Pala Karel, and SpringerLink (Online service), eds. Text, Speech and Dialogue: 15th International Conference, TSD 2012, Brno, Czech Republic, September 3-7, 2012. Proceedings. Springer Berlin Heidelberg, 2012.

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22

A field study of natural language interaction: Can content-familiar, casual users "naturally" query a database? National Library of Canada, 1988.

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23

Interaktive Systeme : Band 2: User Interface Engineering, 3D-Interaktion, Natural User Interfaces. Springer Vieweg. in Springer Fachmedien Wiesbaden GmbH, 2015.

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24

Preim, Bernhard, and Raimund Dachselt. Interaktive Systeme : Band 2: User Interface Engineering, 3D-Interaktion, Natural User Interfaces. Springer Berlin / Heidelberg, 2015.

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25

Aspman-O'Callaghan, Robin. In search of the natural user interface. 1987.

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26

Dahl, Deborah A. Multimodal Interaction with W3C Standards: Toward Natural User Interfaces to Everything. Springer London, Limited, 2016.

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27

Dahl, Deborah A. Multimodal Interaction with W3C Standards: Toward Natural User Interfaces to Everything. Springer, 2016.

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28

Dahl, Deborah A. Multimodal Interaction with W3C Standards: Toward Natural User Interfaces to Everything. Springer, 2018.

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29

Blokdyk, Gerardus. Natural User Interface a Complete Guide - 2020 Edition. Emereo Pty Limited, 2020.

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30

Wigdor, Daniel, and Dennis Wixon. Brave NUI World: Designing Natural User Interfaces for Touch and Gesture. Elsevier Science & Technology Books, 2011.

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31

Chen, Jiangping. Multilingual Access and Services for Digital Collections. ABC-CLIO, LLC, 2016. http://dx.doi.org/10.5040/9798400688300.

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This unique guide offers you a thorough understanding of multilingual information access (MLIA) and services and related concepts, such as database design, information retrieval, machine translation, and natural language processing. Written for digital library developers, library and information science graduate students, and information professionals serving international information users, this book defines multilingual information access (MLIA) and discusses the importance of enabling international users to access digital collections. Based on a systematic review of the research and develop

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32

Perry, Phoenix, Sean Kean, and Jonathan Hall. Meet the Kinect: An Introduction to Programming Natural User Interfaces. Springer, 2011.

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33

A natural language interface to databases: Final report. System Software Branch, Information and Electronic Systems Lab, George C. Marshall Space Flight Center, National Aeronautics and Space Administration, 1988.

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34

Pfurtscheller, Gert, Clemens Brunner, and Christa Neuper. EEG-Based Brain–Computer Interfaces. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0047.

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A brain–computer interface (BCI) offers an alternative to natural communication and control by recording brain activity, processing it online, and producing control signals that reflect the user’s intent or the current user state. Therefore, a BCI provides a non-muscular communication channel that can be used to convey messages and commands without any muscle activity. This chapter presents information on the use of different electroencephalographic (EEG) features such as steady-state visual evoked potentials, P300 components, event-related desynchronization, or a combination of different EEG

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35

Rahman, Mansib. Beginning Microsoft Kinect for Windows SDK 2.0: Motion and Depth Sensing for Natural User Interfaces. Apress, 2017.

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36

Mihalcea, Rada, and Dragomir Radev. Graph-Based Natural Language Processing and Information Retrieval. Cambridge University Press, 2011.

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37

Mihalcea, Rada, and Dragomir Radev. Graph-Based Natural Language Processing and Information Retrieval. Cambridge University Press, 2011.

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38

Mihalcea, Rada, and Dragomir Radev. Graph-Based Natural Language Processing and Information Retrieval. Cambridge University Press, 2011.

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39

Mihalcea, Rada, and Dragomir Radev. Graph-Based Natural Language Processing and Information Retrieval. Cambridge University Press, 2011.

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40

Ell, Basil. User Interfaces to the Web of Data Based on Natural Language Generation. Saint Philip Street Press, 2020.

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41

Lam, Christine. Efficient Gestures in Users' Preference, Health, and Natural Inclination for Non-Touch-Based Interface. GRIN Verlag GmbH, 2015.

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42

Bes, G. G. A Natural Language and Graphic Interface: Results and Perspectives from the Acord Project (Research Reports Espirit : Project 393 Acord, Vol 1). Springer, 1992.

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43

Gateway software and natural language interfaces: Options for online searching. Pierian Press, 1988.

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44

Wisniowski, Antoni. An assessment of the effectiveness of a natural language interface for information retrieval. 1995.

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45

Natural Interaction in Medical Training: Tools and Applications. Springer, 2017.

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46

Ogiela, Marek R., and Tomasz Hachaj. Natural User Interfaces in Medical Image Analysis: Cognitive Analysis of Brain and Carotid Artery Images. Springer, 2014.

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47

Ogiela, Marek R., and Tomasz Hachaj. Natural User Interfaces in Medical Image Analysis: Cognitive Analysis of Brain and Carotid Artery Images. Springer, 2014.

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48

Ogiela, Marek R. R., and Tomasz Hachaj. Natural User Interfaces in Medical Image Analysis: Cognitive Analysis of Brain and Carotid Artery Images. Springer, 2016.

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49

Azzopardi, Leif, and Guido Zuccon. Economic Models of Interaction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.003.0012.

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This chapter provides a tutorial on how economics can be used to model the interaction between users and systems. Economic theory provides an intuitive and natural way to model Human-Computer Interaction which enables the prediction and explanation of user behaviour. A central tenet of the approach is the utility maximisation paradigm where it is assumed that users seek to maximise their profit/benefit subject to budget and other constraints when interacting with a system. By using such models it is possible to reason about user behaviour and make predictions about how changes to the interface

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50

Speech acts and prosodic modeling in service-oriented dialog systems. Nova Science Publishers, 2010.

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