(Originally posted Oct 15, 2012)

I wore a SenseCam from 5:07pm on October 2, 2012 to 7:36pm on October 3rd, 2012.

Before I looked at the images that it recorded, I planned on looking for the following:

  •  people i see
    • know
    • don’t know
    • people who wondered about the SenseCam
  • other people uncomfortable
  • number of times look at time
  • what happens when i sleep
  • sleeping patterns
  • movement
  • things that happen around me

Some ideas that I began to think about included:

  • What the SenseCam wasn’t recorded
    • head turning
    • sound
    • location
  • Recording looking out vs. at yourself
  • Being self-conscious
  • Wishing I had done something more exciting
  • Faking data (ex. making it seem like you are scaling a wall)
  • Multiple people’s perception of the same experience
  • Showing people who were in the data. Their reaction?

After looking at all the images through Vicon Revue Software, I decided to map my locations and amount of time at each throughout the 27 hr period.

Some interesting things I found:

Design opportunities and threats:

Many tools currently allow us to track our experiences over time, and let us review these experiences afterwards. An area that has yet to be fully developed is the ability for users to record and interact with real-time data. The ultimate tracking tool would be a device that could capture images, sounds, movement, and gps location in real-time. If everyone had one of these devices, the data could be compiled into a Marauder’s Map of sorts, where you could see not only people’s location, but also what they are seeing and hearing. This something that social media like Foursquare, Twitter, and Facebook could become.

If the device became ubiquitous, a possible threat would be extreme violations of privacy. Stalking could be taken to a whole new level. Companies could collect data on not only your online habits, and interests you make public, but your every action in real-time. Even when I was wearing the SenseCam, I felt strangely guilty that I was making other people uncomfortable, especially so when I was wearing it from behind.

However, there are many ways that this information could be used positively. For example, you would be able to share experiences with friends or family as you experience it, instead sharing documentation of it. You could show someone walking directions visually. The device could find trends in your habits and begin to suggest places to explore, eat at, shop. It could set your alarm for you when you go to bed. It could tell you when the next bus is coming, as soon as you step under the bus stop. An existing technology that does this is the Google Now app for Android. Based on “repeated actions that a user performs on the device (common locations, repeated calendar appointments, search queries, etc.)” it will “answer” questions, make recommendations, and perform actions.” Essentially, it gives you relevant information when you need it most.