Tag: friends

• Intimacy at a distance

  In 1956, Donald Horton and Richard Wohl coined the term parasocial interaction to describe the psychological relationship that people were starting to have with TV personalities. Though radio had already started this phenomenon, the television brought with it an entirely new dimension. People started to really feel as if they knew that person on TV. They had become a friend.

  But as Christopher Mims points out in this recent article about loneliness during the coronavirus pandemic, the problem with parasocial interaction is that it’s entirely one-sided. It also isn’t real: “Sitting around the house watching television, parasocializing with our favorite news anchors or sitcom characters, didn’t confer the same benefits as socializing with real people.”

  The internet has further enhanced the way we parasocialize. Similar to how TV built on radio, the internet has built on TV. Instead of just scripted television shows, we now have Instagram Stories, TikTok videos, inappropriate Snaps, and many other methods of communication, some of which are maybe a little less scripted.

  Of course, we also see our real friends online and those people we know, but never actually spend time with, maintaining only a loose “relationship” via the occasional emoji reaction. Mims argues that this has created a new kind of “mental equivalence.” It has become harder for our minds to distinguish between our real friends and our parasocial friends.

  Recently, we have all become familiar with terms like “flatten the curve” and “social distancing.” But what is clear as we all start isolating ourselves at home — whether mostly or entirely — is this: it sucks. Even with all of the tech and social media that we now have available to us, we cannot replace what it’s like to give someone a hung, look them in the eyes, and have a meaningful conversation.

  That said, the Italians seem to have really mastered this whole self-isolation thing with their balcony orchestras and internet videos like this one here:

  https://twitter.com/JamesAALongman/status/1239153242279460864?s=20

  Stay strong, friends. Normalcy will return.

  2020.03.15

• Merry Christmas everyone

  

  Today is Christmas Day. I hope that you are all having a wonderful day and spending it with family and friends. That is exactly what I’m doing here in Toronto.

  It’s certainly nice to have a bit of downtime. I’ve been playing around with my new GoPro (see above photo), which had been sitting unopened on my shelf for the past few weeks.

  The photo above was taken at the Pier 27 condos. It’s still very much a construction zone. The area at grade in the photo will be a linear public park that connects the main street to the waterfront. I’m looking forward to seeing it come together.

  Have a great day everyone 🙂

  2014.12.25

• Location-based social network Foursquare is unbundling

  I’ve been a Foursquare user for a number of years now. I like seeing which friends are nearby and where I’ve been. I love the data aspect of it. It’s a kind of urban “spidey sense.”

  Sometimes when you “check-in”, the app will tell you the last time you were there (if it’s been awhile), how many consecutive weeks you’ve been there (which I like seeing when I check-in at the gym), and also give you any tips that others may have left about the place you’re at–such as, try the sea urchin ceviche.

  But Foursquare has been struggling. Check-ins proved to be a bit of a fad and Yelp solved the what-do-you-want-to-do-tonight problem better. However I’ve always felt that, on a fundamental level, Foursquare had the potential to be so much more powerful than Yelp. 

  Well, today the big news in the tech world is that Foursquare is unbundling its app. There will be Foursquare and there will be Swarm. Foursquare will be a recommendation engine that helps people find places to eat, drink, shop and so on (just like Yelp), and Swarm will be all about social–seeing where your friends are and which ones are nearby. And along with this unbundling, there will be no more check-ins:

  But how can Foursquare personalize its users’ results if they are no longer collecting check-ins, the foundation of Foursquare’s recommendation engine? Crowley smiles and says something a bit shocking. He no longer needs check-ins, the meat and potatoes of Foursquare’s entire business and data collection engine for the last five years.

  Not only has Foursquare collected 6 billion check-ins, he says, but it has collected five billion signals to help it map out over 60 million places around the world. Each place is a shape that looks like a hot zone of check-ins — of times when people have said “I’m here.” Foursquare’s “Pilgrim” location-guessing engine factors in everything from your GPS signal, to cell tower triangulation, to the number of bars you have, to the Wi-Fi networks, in order to create these virtual shapes.

  Now that it has this data, Foursquare can make a very accurate guess at where you are when you stop moving, even without a check-in, it’s a technology it hopes will allow it to keep its database of places fresh and accurate. Foursquare calls these implicit check-ins “p-check-ins,” or Neighborhood Sharing. Take your phone into four or five different Japanese restaurants over the course of six months and without a single check-in Foursquare will learn that you like Japanese food and start making recommendations for you based on that data.

  There will obviously be a number of people who have anxiety about an app that’s passively tracking everywhere they go and then trying to feed them recommendations (come eat here!), but I do think they’re on to something.

  The opportunity with Foursquare (and its data) is that the recommendations can be tailored. If I’m looking for a place to eat, Foursquare will already know that I love Mexican and that I just worked out (meaning I’m probably extra hungry). Personally, I’m okay with that.

  But then I start to wonder how this might impact cities. If the process of discovery becomes this automated and this tailored, how might it change the way we organize and design our cities?

  2014.05.02