Conversational UX design : a practitioner's guide to the natural conversation framework

"With recent advances in natural language understanding techniques and far-field microphone arrays, natural language interfaces, such as voice assistants and chatbots, are emerging as a popular new way to interact with computers. They have made their way out of the industry research labs and in...

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Bibliographic Details
Main Authors: Moore, Robert J. (Author), Arar, Raphael, (Author)
Format: eBook
Language: English
Published: [New York, New York] : Association for Computing Machinery, [2019]
Edition: First edition.
Series: ACM books ; #27.
Subjects:
User interfaces (Computer systems)
Natural language processing (Computer science)
Human-computer interaction.
elektronické knihy
electronic books
ISBN: 9781450363044
9781450363037
9781450363013
9781450363020
Physical Description: 1 online zdroj (xvii, 298 stran) : ilustrace

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Table of contents

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100 1 |a Moore, Robert J.  |q (Robert John),  |e author. 
245 1 0 |a Conversational UX design :  |b a practitioner's guide to the natural conversation framework /  |c Robert J. Moore, Rapheal Arar. 
250 |a First edition. 
264 1 |a [New York, New York] :  |b Association for Computing Machinery,  |c [2019] 
300 |a 1 online zdroj (xvii, 298 stran) :  |b ilustrace 
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337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a ACM books,  |x 2374-6777 ;  |v #27 
504 |a Obsahuje bibliografické odkazy a index. 
505 0 |a 1. Introduction -- 1.1. Natural language interfaces -- 1.2. Conversational UX design -- 1.3. Conversation first -- 1.4. Mutual understanding -- 1.5. About this book 
505 8 |a 2. Conversation analysis -- 2.1. What is a conversation? -- 2.2. Topic vs. Structure -- 2.3. Anatomy of a conversation -- 2.4. Conversation types -- 2.5. Conclusion 
505 8 |a 3. Conversation authoring -- 3.1. A simple finite-state machine -- 3.2. Conditions (intents, entities, context) -- 3.3. Responses -- 3.4. Branching -- 3.5. Conclusion 
505 8 |a 4. Natural conversation framework -- 4.1. Interaction model -- 4.2. Content format -- 4.3. Conversational activity patterns -- 4.4. Conversation navigation -- 4.5. Conclusion 
505 8 |a 5. Conversational activity UX patterns -- 5.1. Pattern language for conversational UX -- 5.2. A1 inquiry (user) -- 5.3. A2 open request -- 5.4. A3 extended telling -- 5.5. A4 quiz -- 5.6. A5 inquiry (agent) -- 5.7. Combining patterns -- 5.8. Conclusion 
505 8 |a 6. Sequence management UX patterns -- 6.1. B1 repair (agent) -- 6.2. B2 repair (user) -- 6.3. B3 extended repair -- 6.4. B4 sequence closers -- 6.5. B5 sequence abort -- 6.6. Conclusion 
505 8 |a 7. Conversation management UX patterns -- 7.1. C1 opening (agent) -- 7.2. C2 opening (user) -- 7.3. C3 capabilities -- 7.4. C4 closing -- 7.5. C5 disengaging -- 7.6. Conclusion 
505 8 |a 8. Conversational UX design process -- 8.1. Design thinking -- 8.2. Stage 1 : empathize -- 8.3. Stage 2 : define -- 8.4. Stage 3 : ideate -- 8.5. Stage 4 : prototype -- 8.6. Stage 5 : test -- 8.7. Conclusion 
505 8 |a 9. Conclusion -- 9.1. Conversation metrics -- 9.2. Final thoughts 
505 8 |a Appendix A. Conversation analysis transcription conventions -- Appendix B. Dialog design pseudocode -- Appendix C. NCF pattern language summary -- Appendix D. Sample conversation with Alma 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a "With recent advances in natural language understanding techniques and far-field microphone arrays, natural language interfaces, such as voice assistants and chatbots, are emerging as a popular new way to interact with computers. They have made their way out of the industry research labs and into the pockets, desktops, cars and living rooms of the general public. But although such interfaces recognize bits of natural language, and even voice input, they generally lack conversational competence, or the ability to engage in natural conversation. Today's platforms provide sophisticated tools for analyzing language and retrieving knowledge, but they fail to provide adequate support for modeling interaction. The user experience (UX) designer or software developer must figure out how a human conversation is organized, usually relying on commonsense rather than on formal knowledge. Fortunately, practitioners can rely on conversation science. This book adapts formal knowledge from the field of Conversation Analysis (CA) to the design of natural language interfaces. It outlines the Natural Conversation Framework (NCF), developed at IBM Research, a systematic framework for designing interfaces that work like natural conversation. The NCF consists of four main components: 1) an interaction model of expandable sequences, 2) a corresponding content format, 3) a pattern language with 100 generic UX patterns and 4) a navigation method of six basic user actions. The authors introduce UX designers to a new way of thinking about user experience design in the context of conversational interfaces, including a new vocabulary, new principles and new interaction patterns. User experience designers and graduate students in the HCI field as well as developers and conversation analysis students should find this book of interest."--  |c Provided by publisher 
650 0 |a User interfaces (Computer systems) 
650 0 |a Natural language processing (Computer science) 
650 0 |a Human-computer interaction. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Arar, Raphael,  |e author. 
776 0 8 |i Print version:  |z 9781450363013  |z 9781450363020 
830 0 |a ACM books ;  |v #27. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://dl.acm.org/doi/book/10.1145/3304087  |y Plný text 
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993 |x NEPOSILAT  |y EIZ 

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