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Voice Interfaces to Content and Data – Supporting Conversational Commerce and Semantic Search

Recorded - available as on demand webcast

In the early text-based, green-screen days of computers we talked about building a “GUI” – a Graphical User Interface.  Nowadays we need to increasingly consider the “VUI” or Voice User Interface.

But VUI’s are not necessarily new.  We have had them for a long time with IVR – Interactive Voice Response or the dreaded voice menus that people constantly yell “operator!” over, or furiously hit 0 until a human picks up. 

However, Siri, Alexa and other bots from the smart speaker ecosystem are changing the perception of voice response.  Voice search is as simple as asking your smartphone a question which is transcribed and entered as a text search in Google or Bing. 

While voice searching is straight forward on a smartphone where results are displayed for browsing, voice interactions with a program can be complex and nuanced.  Not only does the system need to maintain context by chaining together questions and responses, but the user has to remember bot responses and have a way of capturing details beyond their working memory.   A pure voice interface is blind – there are no visual cues for the user or the system. 

Voice can be paired with a visual interface in products like the Amazon Echo Show which has its own design requirements.

In this session we will explore the implications of building voice capabilities whether for conversational commerce, voice-based search or chat/voice hybrid interfaces.

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Seth Earley
Seth Earley
Seth Earley is the Founder & CEO of Earley Information Science and the author of the award winning book The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster, and More Profitable. An expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions. He has worked with a diverse roster of Fortune 1000 companies helping them to achieve higher levels of operating performance.

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