Eric Friedman

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Half-Baked Thought on Google Glass + Facial Recognition
I did the NYC Triathlon this weekend. The night before the face, you have to drop off your bike at the swim->bike transition area on the Upper West Side. When you do so, the organizers write your age on your left calf so they know what swim heat to put you in the next morning.
Anyway, so after you leave the bike drop-off and start walking around the Upper West Side, you see a whole bunch of people with their ages written on their calf. And with this little bit of data transparency, I couldn’t help sizing up some people (“looks older”, “looks younger”). Chelsa told me that during the race, she was specifically looking at girls’ calves to find the people in her age group, and targeted them as someone she should catch up to and pass to help boost her age-group ranking (she ended up finishing #37 in her age group btw).
It was the first time I was in an environment where normally private data (age) was worn publicly (more like a cattle-branding than a name tag), and it was interesting to see how one would / could make subtle judgements / decisions based on this data.
… which is kind of a sneak peek into what a world with Google Glass + facial recognition that is linked to Facebook profiles may be like. When you can look at person’s face thru your magic glasses and see their name / age / job / relationship status / etc hovering over their head, how will that change the act of sizing people up by their first impression?

Today’s version of this is the job interview. Your digital identity get there before you even show up (sometimes days before). This is why I always tell folks to have SOME kind of presence that can help give a good first digital impression.

Half-Baked Thought on Google Glass + Facial Recognition

I did the NYC Triathlon this weekend. The night before the face, you have to drop off your bike at the swim->bike transition area on the Upper West Side. When you do so, the organizers write your age on your left calf so they know what swim heat to put you in the next morning.

Anyway, so after you leave the bike drop-off and start walking around the Upper West Side, you see a whole bunch of people with their ages written on their calf. And with this little bit of data transparency, I couldn’t help sizing up some people (“looks older”, “looks younger”). Chelsa told me that during the race, she was specifically looking at girls’ calves to find the people in her age group, and targeted them as someone she should catch up to and pass to help boost her age-group ranking (she ended up finishing #37 in her age group btw).

It was the first time I was in an environment where normally private data (age) was worn publicly (more like a cattle-branding than a name tag), and it was interesting to see how one would / could make subtle judgements / decisions based on this data.

… which is kind of a sneak peek into what a world with Google Glass + facial recognition that is linked to Facebook profiles may be like. When you can look at person’s face thru your magic glasses and see their name / age / job / relationship status / etc hovering over their head, how will that change the act of sizing people up by their first impression?

Today’s version of this is the job interview. Your digital identity get there before you even show up (sometimes days before).

This is why I always tell folks to have SOME kind of presence that can help give a good first digital impression.