The end report should explain your agent’s basic conversational features (functionality), discuss the progress you were able to make and how you tested your agent, and the overall findings of your project.
Your report should not exceed 10 pages.
You are allowed to add additional materials in appendices of your report (following the 10 main pages that we will grade). Your main report, however, should be self-comprehensive (a reader should get it without having to access the appendices).
We recommend writing your report in latex.
Your report needs to have the following structure:
Title
Add a title. Also add your group number, student names, emails, and student numbers right below the title.
Introduction (max. 1 page):
Briefly introduce your recipe recommendation agent project. Mention each group member’s contribution to the project. Also describe your aims for the conversational agent.
How does the agent work? (1-2 pages):
How do components interact with each other to get to a working conversational agent? You should minimally mention the database, patterns, specific MARBEL/GOAL properties like memory and agenda, Dialogflow Intents/Entities, Selection functions and how they work, how visuals work, etc.
Design choices and rationale (1-2 pages):
In this section, you should describe the different design choices you have made while implementing your agent. Make sure to give motivation to each of them. Design choices are any tasks open to interpretation in the instructions. This should include but not be limited to training phrases used (that were not provided), visuals (essentially everything), conversational patterns and agent responses.
Extensions(1-2 pages):
How did you add or extend upon the basic agent, and with what aim in mind?
Testing(1-2 pages):
In this section, you should talk about the way in which you tested your own agent continuously. What did you find? Read a bit more about this in Agent Testing.
Experiment and Data Gathering from Other Team(1-2 pages):
In this section, you should explain the testing and data gathered that was described in User Study. You should very briefly include the test setup, your goals, and then explain the data, and the lessons learned from your experiment.
Evaluation and Improvements(1-2 pages):
Address the testing that you and the other team did on your bot. If something was identified during testing and you already fixed it that could also be worth mentioning. Identify your FINAL bot’s current advantages and deficiencies. Identify improvements, and describe and motivate how they may be implemented. Evaluate your extensions as well! Why do they improve the bot and how well do they function?
Conclusion: (max. 1 page):
Write a brief conclusion about the project itself, as well as a reflection on the process (what went well and what could have been done better?).
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