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Voicebot and Chatbot Design

You're reading from   Voicebot and Chatbot Design Flexible conversational interfaces with Amazon Alexa, Google Home, and Facebook Messenger

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789139624
Length 296 pages
Edition 1st Edition
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Author (1):
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Rachel Batish Rachel Batish
Author Profile Icon Rachel Batish
Rachel Batish
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Table of Contents (14) Chapters Close

Preface 1. Conversational UI is our Future FREE CHAPTER 2. How Not to Build Your Next Chat and Voicebots 3. Building a Killer Conversational App 4. Designing for Amazon Alexa and Google Home 5. Designing a Facebook Messenger Chatbot 6. Contextual Design – Can We Make a Bot Feel More Human? 7. Building Personalities – Your Bot Can Be a Better Human 8. A View into Vertical-Specific Bots – Financial Institutions 9. Travel and E-Commerce Bots – Use Cases and Implementation 10. Conversational Design Project – A Step-By-Step Guide 11. Summary Other Book You May Enjoy Index

The bot as an intelligent assistant


One of the chatbot/voicebot's challenges is to provide the user with the the most optimal result it can, based on the parameters it was able to collect explicitly and implicitly. So, can a bot also make recommendations? Can it filter the data for the user?

Trying to provide a more human-like, conversational interaction with a chatbot or voicebot also means being able to filter the enormous amount of data that the user is used to consuming from his/her web-browsing experience. A good chatbot experience will not present us with an endless number of results (obviously this is not even possible when we think about a voicebot).

So, how can we filter 500 (or 5000!) options and give the user the one or two options that fit them best? How can we make sure our bot is advising users? The bot should not only collect information and reply to automatically configured questions, but should also come back with suggestions and recommendations that are specific and accurate...

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