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Assigning Roles
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Within Your Team
At the start of the course, you are expected to have formed a team of 6.One of the first things to think about as a team is how to divide the three main tasks or roles amongst your team members:
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Do you want to get to know a very cool Google Cloud tool, and like to optimize the agent’s understanding of what the user says? In the introductory part of the course, you should have learned a bit about Dialogflow. If that sounded super cool to you, then this could be the section for you! You will create Intents, Entities, and Prolog Filter Rules in order to provide the agent with the vocabulary comprehension and filtering abilities it needs to converse about recipes.
For more information, go to the Dialogflow and Filters Section:
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Role 2: Visual Support (VS)
Do you want to get creative? Your agent will not only have a conversational component, but a visual one. The program uses dynamic webpages to provide the user with visual support in their conversation. This not only includes subtitles to the conversation, but also information in support of what is talked about at any moment - such as the recipes that fit the preferences voiced by the user. If you are ready to break out a bit of HTML and Prolog, you can create cool pages through rules. The Visual Support team will incorporate visuals to enrich the conversation.
For more information, go to the Visual Support Section:
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Role 3: Patterns and Responses (P&R)
Do you like to think in more detail about the anatomy of a conversation? Then this role could be of interest to you. The patterns and responses section focuses on the conversation part of the conversational agent. Your bot will not be the most robust it can only handle some specific tasks. Thus, we create patterns of what we think conversations in the agent’s intended domain will look like so it knows what to expect and how to respond. You will encode these patterns in Prolog and add responses for every situation.
For more information go to the Pattern and Responses Section:
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Initial Set Up
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Setting up the Tools You Need
Before you actually install the tools that you need for this project, first have a brief look at this page to get a quick overview of what you will use for developing your agent:
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Now you have some idea of what software tools you will be using, get started by following the instructions on this page for setting up the tools you will need:
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Getting up to Speed: the Background Knowledge You Need
Before beginning your project, we would like you all to familiarize yourself with some important background knowledge about Git and Dialogflow, which are needed to successfully complete your project. Everything we think you . You will find you will need this to successfully navigate this project, and it will help you to better understand what some of the tools and one of the key components of the agent are all about. The basic stuff that we think you really need to know can be found here:
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Note |
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Note that to test your knowledge of these subjects, there are |
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Canvas quizzes |
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that must be completed |
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Additionally, on the page Getting Started: The Tools Used we explain and help you set up the infrastructure needed to complete this project.
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Info |
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The information provided here should be sufficient for you to complete the project. For those of you who are interested and want to learn more about conversational patterns and the related coding scheme that we use here (e.g. C4, etc.), see: Moore, R. J., Arar, R. (2019), Conversational UX Design: A Practitioner's Guide to the Natural Conversation Framework. ACM. |