Content Comparison

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1. Test Greeting Patterns

   • Test the basic greeting pattern by running the agent and initiating interaction from the Start page.

   • Set the agent’s name in dialog_init.mod2g and verify self-identification functionality.

2. Test User Response Variations

   • Provide non-greeting inputs to test the agent’s response and inspect session updates in Debug mode.

Instructions

[TBU]Greet, and Self-Identify

3. Request a Random Recipe Recommendation

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1. Test Recipe Recommendation

   • Add a50recipeSelect to the agenda in dialog_init.mod2g and verify the agent's ability to:

     • Ask for recipe preferences.

     • Respond with a random recipe recommendation.

2. Test Recipe Confirmation

   • Ensure the agent correctly displays the recommended recipe and allows user confirmation.

Instructions

[TBU]Request a Recommendation

4. Select Recipes by Name

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1. Test Recipe Request Handling

   • Add the new pattern to the agent’s agenda in dialog_init.mod2g after the c10 pattern.

   • Test the interaction flow:

     • Agent asks for a recipe.

     • User requests a specific recipe.

     • Agent acknowledges the recipe choice and moves to the confirmation phase.

2. Verify Intent Recognition

   • Check the Dialogflow Training Tool to confirm the recipeRequest intent is recognized.

   • Verify the SIC server logs show the correct intent and transcript.

3. Handle ASR Failures

   • Use the chatbox feature to avoid ASR failures and ensure the agent can handle specific recipe requests reliably.

Instructions

[TBU]Select Recipes by Name

5. Filter Recipes by

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Implementing this capability will involve implementing some of the conversational and reasoning competences that a conversational recipe recommendation agent should have. It will enable users to request recipes which use specific ingredient (types) or ask for recipes from a specific cuisine. This one of the capabilities that requires quite a big amount of work. Some of the bigger challenges will be to make Dialogflow understand ingredients (at least those that are in our database; and cuisines, for that matter, but those are fewer), to implement the logic to filter the recipe database with the feature requests of a user, and to present those in a nice way to the user on a webpage.

Summary Description

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A: What recipe would you like to cook?

Inclusion

Summary Description

Implementation Tasks Overview

Instructions

[TBU]Filtering by Inclusion

Unexpected Intents

Summary Description

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