Conversational user interface: Difference between revisions

Revision as of 11:50, 20 January 2020

Revision as of 01:28, 19 February 2020

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NLU allows for [[sentiment analysis]] and conversational searches which allows a line of questioning to continue, with the [[context (language use)|context]] carried throughout the conversation. NLU allows conversational interfaces to handle unstructured inputs that the human brain is able to understand such as spelling mistakes of follow-up questions <ref>{{cite web |author=Lola |title=NLP vs. NLU: What's the Difference? – Lola – Medium |website=Medium |date=2016-10-05 |url=https://medium.com/@lolatravel/nlp-vs-nlu-whats-the-difference-d91c06780992 |ref=harv |access-date=2018-05-23}}</ref>. For example, through leveraging NLU, a user could first ask for the population of the United States. If the user then asks "Who is the president?", the search will carry forward the context of the United States and provide the appropriate response.

Conversational interfaces have emerged as a tool for businesses to efficiently provide consumers with relevant information, in a cost -effective manner. CUI provide ease of access to relevant, contextual information to the end user without the complexities and learning curve typically associated with technology.

While there are a variety of interface brands, to date, there are two main categories of conversational interfaces; [[voice command device|voice assistants]] and [[chatbot]]s.