Suggestions for presentations

• Number your slides as i/n where i is the current slide number and n is the total number of slides in your presentation.
• Text: Minimize the number of words you put on each slide.
  • Limit the text to minimal keywords and points, which should act as visual reminders/summaries of your sentences
  • Do not use full sentences
• Titles: The titles should indicate the content of the slide.
  • for example "Results" is good but not sufficient. "Results: UAV vs AUV comparison" is more informative.
  • It should fit on a single line, with the default font size.
• Use figures and drawings to tell your story
  • A picture is worth 1000 words
  • Do not limit yourself to the figures in the paper. Draw your own figures, and develop them throughout your presentation.
• Formulas:
  • use them
  • but use them sparingly
    • define the variables in them,
    • define the common expressions and their meaning if there is a function such as x/(e^x+1),
      • plot/draw it.
      • what are its minimum and maximum values
    • your equations should be high quality -
      • if you take a screenshot, make sure it has sufficient resolution
      • OnMacIrecommend https://www.macupdate.com/app/mac/17889/latexit i
      • Windows -try https://klatexformula.sourceforge.io/
• Build up terminology
  • Every new term should be first, described - what is it?
  • then discuss
• Results:
  Before presenting
  • - remind the methods being compared remind/define acronyms
  • describe metrics
• Details that do not contribute to the story line should be omitted
  • if you still want to show some details [e.g. the weight/maker of a drone, put it under a figure or below the slide, so the interested audience can take peek. Never mention them in your speech, unless you are asked.
• If you need to summarize a new framework/method essential to the paper, read/watch other sources of information, and summarize them as aside information. for instance, if your paper refers to reinforcement learning, summarize the reinforcement learning framework in 1-2 slides.
• If you refer to a method/paper/data set Provide references at the bottom of the page.
  Plots:
  • Axis- describe the x and y-axis first
  • tell us what is plotted. And comment on how the plot should be interpreted. for instance, higher may be better performance in a plot.
  • At the bottom of the slide, provide 1 sentence conclusion that the audience should take home.
  • Final slide
    • summarize the paper
    • What is the problem being tackled What are the methods proposed What are the results
    • contact [your email] + funding
  • Preparation:
    • Rehearse-rehearse-rehearse
      • in your own mind
      • speaking loudly
      • present to a friend
      • Check you pronunciation
        • if unsure check it on http://dictionary.com
        • Or feed your text to a text-to-speech tool
      • Revise your slides/ and iterate
      • If you end up spending more than 2 minutes on a slide, split it.
      • If you feel that what you are talking about is not directly connected on the figures/words on the slide, put them in.
      • If you feel that you are using your hands, or referring to some imaginary structures, draw figures!
      • Finally, there are many good examples. Look for conference presentation videos. For instance:
        • CORL'2021
        • HRI'2020