Hi all. So clearly, clearly, I suck at the blog thing. I started an entry back in March, apologizing for how sucky I am at updating the blog - but of course I never ended up posting it because, well, I suck at updating the blog.
Some news: I spent this past spring term (January to end of April) in London, studying abroad and interning at an independent ad agency called Inferno. I learned a lot, saw a lot, met a lot of lovely people, and can say that without a doubt it was my best semester ever as a student. Now that it's summer, I'm home in Atlanta and interning at Newell Rubbermaid, which has been an educational experience on a whole different level, and filled with all sorts of perks, to boot!
I have a handful of posts in the queue, just waiting to be finished and published, but until then feel free to keep in touch on Tumblr (where I post image inspiration and interesting stuff) or Twitter!
Friday, July 8, 2011
Sunday, December 12, 2010
56: HCI and music
Yann Tiersen on six iPhones:
My church's worship team on iPads (skip to 5:00 to see Seth Condrey making good use of the T-Pain app):
Collective win, yes?
My church's worship team on iPads (skip to 5:00 to see Seth Condrey making good use of the T-Pain app):
Collective win, yes?
Thursday, December 2, 2010
55: a visualisation critique from my HCI design class
artifact: map your moves
Moritz Stefaner's Map Your Move visualization shows where New Yorkers have moved in the last ten years. His data comes from an informal survey of 1700 people, and because most of it reflects people moving from, to, or within the New York area, he uses that entire region as the focus of the graphic. All other parts of the world are mapped relative to New York City.
When you first go to his project, you see a bunch of brownish-purple circles of varying sizes. Each circle represents one zip code, and its size represents the number of moves to or from that zip code. He uses rings around circles to indicate which behavior is more prevalent (red = people moving out, blue = people moving in).
You can interact with the graphic by clicking on a circle to look at moves to/from the area, or you can drag your cursor to make a radial selection of dots that let you see a bunch of zip codes. Once you click on a zip code, all irrelevant dots fade away, and you see a bunch of red and blue lines, which represent each person's beginning and ending location, the year the person moved, and the reason why. There is also a side bar that shows general statistics for the zip code(s) you selected (# people moving in/out, reasons for moving in/out, when people moved in/out).
critique
Overview: The first thing that I always notice is aesthetics, so when Map Your Moves (MYM) loaded on my screen, I was a little grossed out because all these different sized dots reminded me of the measles. However, it's important for these circles to be different sizes because they show you at a glance where people are coming and going. Also, Moritz maps his graphic so that you can see other locations in the world, but he doesn't attempt to make his map geographically accurate (i.e., distances are disproportional), in order to make sure everything fits on the screen without having too much unnecessary extra space. It's nice that he considered this because it goes along with Fitts' law - bigger + closer = faster. The colors are nice as well, because the red and blue contrast nicely, and the background is very neutral and therefore not distracting.
MYM doesn't have very robust zoom and filter features. You can "zoom" in on a cluster of zip codes by making a radial selection of circles. However, it's not a very precise method at all. When you select a zip code area, the graphic automatically eliminates all other items for you, so you can see your current data points very clearly, but based on your goal, some points might be more important than others. The system may be too rigid in that respect.
Details on demand: MYM is fairly good at providing details; whenever you position your cursor over a circle or a line, the circle/line becomes outlined, and a text box with information pops up, which not only helps you maintain your orientation but lets you glean specific information very quickly. The sidebar is also useful in that it shows you statistics for your current selection area.
At first glance, it's hard to compare relative numbers, because the bar graphs for each variable are in the same line. However, the designer does include gray baselines when relevant, so you can easily see whether these numbers are actually statistically significant, which may be more important than positioning the bar graphs to appear more comparable.
redesign
Because the mapping is not to scale, it's hard to find specific zip codes. Most people only know a handful anyway (office, home, school), so in order to navigate, users really need to rely on trial and error. An easy fix would be implementing a search bar based on address. That way, users wouldn't have to know individual zip codes, or have to look through each circle one by one; they could type in a familiar street or nearby restaurant to navigate (similar to the way Yelp and Google Maps work).
There is also an issue with size. It seems that Moritz made tradeoffs in usability and ability to interpret and understand information. According to Fitts' law, bigger may be better, but in this case, actual circle size is a defining characteristic and relevant to the interpretation of data. Because the thin lines and small dots are hard to select, and because many of the lines overlap each other, it's easy to either select the wrong one, or miss it entirely and click on the white space instead (which actually clears your selection completely and takes you back to the overview). You could address this with a gravity function or a magnetic cursor so it's easier to jump from circle to circle or line to line. You could also add a history bar with the last several regions you looked at, to undo unwanted or accidental actions.
In Carr's paper, he says that visualization is designed to help people who are "pursuing a goal that is unknown to the designers and requires sifting through a lot of data," but that supporting specific tasks is also good. My goal was definitely unknown at the time - it wasn't until I actually started playing with the visualization that I realized I wanted to know why people were moving away from New York and where they were going. When I scrolled over lines, I'd see general reasons for moving ("Work or School," "Can't Afford What I Used To," etc.), but there were also people who wrote things like "building was being replace[d] by a 'luxury' condo," or "Neighborhood was scary," or "didn't like australia." To me, these are the little pieces of information that make data so interesting and help people relate to one another. I'd like to see a feature that shows almost the opposite of what this visualization currently does: Start with the why (reasons) and show where people moved. This could be as easy as making the reasons listed in the sidebar clickable; zip codes with people moving away due to roommate or relationship issues could vary with size.
Moritz Stefaner's Map Your Move visualization shows where New Yorkers have moved in the last ten years. His data comes from an informal survey of 1700 people, and because most of it reflects people moving from, to, or within the New York area, he uses that entire region as the focus of the graphic. All other parts of the world are mapped relative to New York City.
When you first go to his project, you see a bunch of brownish-purple circles of varying sizes. Each circle represents one zip code, and its size represents the number of moves to or from that zip code. He uses rings around circles to indicate which behavior is more prevalent (red = people moving out, blue = people moving in).
You can interact with the graphic by clicking on a circle to look at moves to/from the area, or you can drag your cursor to make a radial selection of dots that let you see a bunch of zip codes. Once you click on a zip code, all irrelevant dots fade away, and you see a bunch of red and blue lines, which represent each person's beginning and ending location, the year the person moved, and the reason why. There is also a side bar that shows general statistics for the zip code(s) you selected (# people moving in/out, reasons for moving in/out, when people moved in/out).
critique
Overview: The first thing that I always notice is aesthetics, so when Map Your Moves (MYM) loaded on my screen, I was a little grossed out because all these different sized dots reminded me of the measles. However, it's important for these circles to be different sizes because they show you at a glance where people are coming and going. Also, Moritz maps his graphic so that you can see other locations in the world, but he doesn't attempt to make his map geographically accurate (i.e., distances are disproportional), in order to make sure everything fits on the screen without having too much unnecessary extra space. It's nice that he considered this because it goes along with Fitts' law - bigger + closer = faster. The colors are nice as well, because the red and blue contrast nicely, and the background is very neutral and therefore not distracting.
MYM doesn't have very robust zoom and filter features. You can "zoom" in on a cluster of zip codes by making a radial selection of circles. However, it's not a very precise method at all. When you select a zip code area, the graphic automatically eliminates all other items for you, so you can see your current data points very clearly, but based on your goal, some points might be more important than others. The system may be too rigid in that respect.
Details on demand: MYM is fairly good at providing details; whenever you position your cursor over a circle or a line, the circle/line becomes outlined, and a text box with information pops up, which not only helps you maintain your orientation but lets you glean specific information very quickly. The sidebar is also useful in that it shows you statistics for your current selection area.
At first glance, it's hard to compare relative numbers, because the bar graphs for each variable are in the same line. However, the designer does include gray baselines when relevant, so you can easily see whether these numbers are actually statistically significant, which may be more important than positioning the bar graphs to appear more comparable.
redesign
Because the mapping is not to scale, it's hard to find specific zip codes. Most people only know a handful anyway (office, home, school), so in order to navigate, users really need to rely on trial and error. An easy fix would be implementing a search bar based on address. That way, users wouldn't have to know individual zip codes, or have to look through each circle one by one; they could type in a familiar street or nearby restaurant to navigate (similar to the way Yelp and Google Maps work).
There is also an issue with size. It seems that Moritz made tradeoffs in usability and ability to interpret and understand information. According to Fitts' law, bigger may be better, but in this case, actual circle size is a defining characteristic and relevant to the interpretation of data. Because the thin lines and small dots are hard to select, and because many of the lines overlap each other, it's easy to either select the wrong one, or miss it entirely and click on the white space instead (which actually clears your selection completely and takes you back to the overview). You could address this with a gravity function or a magnetic cursor so it's easier to jump from circle to circle or line to line. You could also add a history bar with the last several regions you looked at, to undo unwanted or accidental actions.
In Carr's paper, he says that visualization is designed to help people who are "pursuing a goal that is unknown to the designers and requires sifting through a lot of data," but that supporting specific tasks is also good. My goal was definitely unknown at the time - it wasn't until I actually started playing with the visualization that I realized I wanted to know why people were moving away from New York and where they were going. When I scrolled over lines, I'd see general reasons for moving ("Work or School," "Can't Afford What I Used To," etc.), but there were also people who wrote things like "building was being replace[d] by a 'luxury' condo," or "Neighborhood was scary," or "didn't like australia." To me, these are the little pieces of information that make data so interesting and help people relate to one another. I'd like to see a feature that shows almost the opposite of what this visualization currently does: Start with the why (reasons) and show where people moved. This could be as easy as making the reasons listed in the sidebar clickable; zip codes with people moving away due to roommate or relationship issues could vary with size.
Friday, November 19, 2010
54: the best sad winter/cheer up playlist ever
It's six songs, all the better to put on repeat.
Soft Shock (acoustic) - Yeah Yeah Yeahs
Twilight Galaxy - Metric
Moth's Wings - Passion Pit
L.E.S. Artistes - Santigold
All I Need - Radiohead
Past in Present - Feist
Friday, November 12, 2010
53: but it's only november
To all hipsters and "ironic" gift-givers:
The makers of Snuggie have caught onto you. And they're coming out with a Christmas ad campaign too. See below for a sneak preview:
The makers of Snuggie have caught onto you. And they're coming out with a Christmas ad campaign too. See below for a sneak preview:
Wednesday, October 27, 2010
52: runaway, kanye west
I love Kanye. I can't help myself. The phoenix that rises and falls... LOVE IT.
Friday, September 24, 2010
51: artsy-fartsy friday
A little over one year ago, I came up with this idea to have an "Artsy-Fartsy Friday" feature on this blog. I made one Artsy-Fartsy Friday post and then kind of proceeded to forget all about it for the next 365+ days.
Let's start with their newest release -- this is for their song, "White Knuckles":
One featuring their awesome Rube Goldberg machine...
More stop motion (if you didn't know already, I have a thing for stop motion)...
Incredible choreography... This is the video that helped launched OK Go onto the Billboard charts.
Public response, according to some of the things I caught on Twitter the other day:
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Whether or not you love or hate OK Go's sound, it's hard to deny that they're producing really innovative music videos with some pretty groundbreaking ideas.
So. In honor of what currently appears to be an annual feature, this post shall be a conglomeration of the fabulous music videos of the Chicago-based band, OK Go.
Public response, according to some of the things I caught on Twitter the other day:
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