TV none use case

Global use case developed by Aura Platform Team that allows searching content related with the user’s utterance when the intent is intent.tv.none

Introduction

The TV none use case is a global experience designed and developed by Aura Global Team that allows Telefónica customers to ask Aura using a vocal interface.

Find additional information in following the documents:

Specifications

Kernel API

In order to resolve the user’s request, Aura uses Video Contents normalized Kernel API.

Request-response model

TV none use case is adapted to the new request-response normalized model v3.

Available channels

Once TV none v3 use case is fully normalized, it will be available for any channel that implements normalized v3 request-response model including TV related data.

Currently, STB channels in BR are already available.

Display features

Currently, the normalized TV none use case includes basic search features for content/channels:

  • none search content/channels with user normalized utterance

Therefore, the answer could be any provided by the recognized intent: intent.tv.none

Use case development

The TV none use case development includes these components:

Understanding features

  • TV none use case intent: intent.tv.none

  • TV none use case entities: Ignore the entities for search content/channels, use normalized utterance for contigency search.

In order to understand users’ requests (utterances), Aura is trained with:

  • NLP expression to recognize the user’s utterance and detect her intention.
  • TV catalog in order to understand TV content (channels) in the user’s utterance and detect them as Aura entities.

Use case logic

Once Aura has recognized the user’s utterance based on NLP components, the use case should be resolved based on: