Papers should be written using the SIGCHI format. Templates in Microsoft Word, LaTeX, and Apple Pages are available here. Use the HCI Archive Format.
You can and should use your flyer write-ups as a starting point for your paper. (In a few cases, the flyer write-up is a good start on a paper already.) In general, you should re-use all of your previous work (including the proposal) as is appropriate given how your project actually took shape.
Here are specific guidelines about what the paper should include. There are guidelines for everyone in the class, and then separate instructions for those in the undergraduate and graduate sections. Finally, there are instructions for teams and submit instructions.
Undergrads please note: you are welcome to follow the grad guidelines, because they are more professional, but I will not require this.
- Write an Abstract that briefly introduces your project and your findings. It should be approx. 10 lines long (same as the template). Mention the AI concepts that are employed.
- Include some Author Keywords. These are keywords that describe your paper, not yourself :)
- Delete the ACM Classification Keywords.
- Include major sections named INTRODUCTION, PROJECT DESCRIPTION, ANALYSIS OF RESULTS, DISCUSSION, CONCLUSIONS, ACKNOWLEDGMENTS, and REFERENCES. You may have additional sections as you see appropriate, but it is unlikely that it is wise to remove any of these sections.
- The INTRODUCTION corresponds to the Problem Statement of your earlier proposals.
- The PROJECT DESCRIPTION corresponds to the earlier Problem Analysis + Deliverable and Demonstration + Data Set sections. You should describe what you built, how it works, and what data you used. Please be specific enough that I understand how the AI ideas were actually applied.
- The ANALYSIS OF RESULTS section should present conclusions. How do you know that your thing worked? E.g, an A* search, was it successful? How many nodes did it expand? Each of you should have some metric of success based on our earlier conversationspresent the metric and how well you did against it here.
- The DISCUSSION section is more free form. Generally, I'd like to know what you learned about the problem here. Focus on your own experience with the problemdon't worry if you learned something that others might already know. The goal of this project was not for you to make an original contribution to knowledge (of course that would be nice if it happened, but that was not the expectation). Instead, the goal was for you to learn something about the problem domain in which you worked, and how AI applies to it. So, focus on your own learning: what you discovered; what was surprising.
- In the CONCLUSION, summarize your results and give any forward pointers to new work.
- Include an ACKNOWLEDGMENTS section. Please include the following statement:
- In the REFERENCES section, include citations for any work that you used in the creation of your project.
- The paper should be 2 to 3 pages long, including diagrams.
- The paper should be 3 to 4 pages long, including diagrams.
- You are required to connect your work with existing work in the field. Use the ACM Digital Library to find related work (if you haven't located it already), and in the Introduction, mention how your work relates to and/or builds upon prior work.
- Teams should co-author a single paper.
- Make sure that both people's work is adequately represented in the body of the paper.
- Briefly (one or two sentences each) indicate who was primarily responsible for what in the Acknowledgments section.
To turn in the paper:
- Name paper with the author(s) last name and an abbreviated version of your title, and save it as a PDF (preferred) or DOC file. E.g.,
- Edit your wiki project flyer markup to add the
Attach:tag below your name and date, like this:
'''Fred Martin''' \\ December 10, 2010 Attach:martin_a_sample_project.pdf
- Save the markup. The Attach tag will turn into a link for uploading your paper.
- Upload it, and you are done.