MIT's CSAIL Trains Algorithm to Rate "Memorability" of Your Selfie

At first read, dedicating CSAIL researchers' time to rating the memorability of a selfie does not sound like a productive use of their time. However, what the researchers have achieved has far wider applications. Right now, many "memorability" algorithms exist. However, the one that Aditya Khosla and his colleagues have created performs 30 percent than what's currently available. The bar of performance that algorithms have to meet is set by actual humans who participate in studies, organized by researchers, in which they are asked to rate memorability of several images shown by researchers.

Source: TechCrunch

Bytes on Visual Processing and "Memorability": As researchers are able to better understand how to better mimic the way that the human brain processes and reacts to visual information, businesses can apply the lessons learned to many different use cases. A few examples include:

  • Online teaching content can be created to optimize for memorability and thus, effectiveness
  • Health and wellness-focused applications can create content and interfaces that have the highest chances of being remembered by their users
  • Healthcare providers can leverage the knowledge to screen for and identify memory-related illnesses
  • Commercial digital artists that create work in any visual medium can create more evocative content
  • And, of course, more effective advertising and marketing content can be created