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    <loc>https://www.erikstill.com/writings/vrs-biggest-problem-and-how-we-could-maybe-solve-it</loc>
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      <image:title>Writings - VR’s Biggest Problem and How We Could (Maybe) Solve It - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/691c1d48fbe35d0d88931977/ae550dcb-7112-4fbc-b7e7-4534c9e165ef/unnamed+%285%29.png</image:loc>
      <image:title>Writings - VR’s Biggest Problem and How We Could (Maybe) Solve It - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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      <image:title>Writings - VR’s Biggest Problem and How We Could (Maybe) Solve It</image:title>
      <image:caption>If you put your cursor above one of the dots, you’ll realize that nothing is actually moving in this illusion by Dr. Kitaoka.</image:caption>
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      <image:title>Writings - VR’s Biggest Problem and How We Could (Maybe) Solve It - Make it stand out</image:title>
      <image:caption>An example of a VR vignette.</image:caption>
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      <image:title>Writings - VR’s Biggest Problem and How We Could (Maybe) Solve It - Make it stand out</image:title>
      <image:caption>An approximation of what the motion processing system would see if it had 1.5 cpd vision.</image:caption>
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      <image:title>Writings - VR’s Biggest Problem and How We Could (Maybe) Solve It - Make it stand out</image:title>
      <image:caption>An approximation of what the motion processing system would see if it filtered for &lt;1.5 cpd spatial frequency instead (Edwards et al., 2021)</image:caption>
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      <image:title>Writings - VR’s Biggest Problem and How We Could (Maybe) Solve It - Make it stand out</image:title>
      <image:caption>Contrast sensitivity = how easily people can tell that something is moving (Mikellidou et al., 2018)</image:caption>
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      <image:title>Writings - VR’s Biggest Problem and How We Could (Maybe) Solve It - Make it stand out</image:title>
      <image:caption>Isotropic noise should theoretically be the most effective at causing motion sickness, since it’s noise “in all orientations” and therefore makes for the most reliable signal. Image from 3Delight Cloud</image:caption>
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      <image:title>Writings - VR’s Biggest Problem and How We Could (Maybe) Solve It - Make it stand out</image:title>
      <image:caption>Illusory motion is used to enhance depth in this image by Yurii Perepadia (2018).</image:caption>
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      <image:title>Writings - VR’s Biggest Problem and How We Could (Maybe) Solve It - Make it stand out</image:title>
      <image:caption>From top to bottom: a color gradient with all brightness differences removed &gt; a normal gradient &gt; greyscale version of gradient with no brightness differences &gt; greyscale version of normal gradient. Note how we just removed brightness without touching color. Image source: Ottoson, 2020</image:caption>
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      <image:title>Writings - VR’s Biggest Problem and How We Could (Maybe) Solve It - Make it stand out</image:title>
      <image:caption>An example of grid flicker.</image:caption>
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      <image:title>Writings - VR’s Biggest Problem and How We Could (Maybe) Solve It - Make it stand out</image:title>
      <image:caption>An example of a brightness vignette we made, where brightness contrast is removed from the periphery (it’s pretty subtle, unless the scene naturally has a lot of brightness contrast).</image:caption>
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      <image:title>Writings - VR’s Biggest Problem and How We Could (Maybe) Solve It - Make it stand out</image:title>
      <image:caption>Left = applying a high-pass filter to remove low frequency information. Right = if we now apply a blur that represents how your motion processing system (probably) sees things, it no longer sees anything from the filtered image.</image:caption>
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