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Anne McLaughlin

After my stay at the Times Square Marriott a few weeks ago, I received a postcard in the mail asking me to complete a survey. The first 900 people to complete the survey would receive a $10 Amazon gift card. Sounded good to me; I needed some reading for my next plane trip.

However, I soon realized the challenge would not be to be among the first 900. The challenge would be to follow the steps to get to the survey. Below is the text from the printed postcard:

  1. Enter the link exactly as it is printed here: HTTP://SURVEYS.COMMONKNOWLEDGE.COM/I4536SM?RESID=J9B47C2

Well, let’s just stop there. Clicking a link of that length is easy. Typing it into a browser, nearly impossible. Did anyone see the l (lowercase L) in there? Or is it an I (uppercase i)? maybe a 1(one)?

They did provide a way to get help:

If you have any technical issues with the survey link please send an email using the following link: http://surveys.commonknowledge.com/SurveySupport/?sid=4456

And yes, the second link was in lowercase compared to the first link in uppercase, and yes, it was underlined. If only I could click on the postcard. No, there was no phone or alternate method listed.

It’s pretty obvious they just printed postcards with the exact same message they approved for emails. It’s a beautiful case of the message not matching the medium. They could match, if Marriott purchased a simple domain name such as www.MarriottSurvey.com that forwarded to the actual survey, or just included a real email rather than a link to a form. (I’d rather type SurveySupport@Marriott.com).

Reminds me of the video Rich posted earlier.

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Perhaps it is because I associate CNN with Atlanta, a city dear to my heart, that I care so much about how badly they choose their on-screen visualizations. Last night I watched before, during and after the debate, which meant I was as informed as could be about their graphics (and even saw the gratuitous use of this Minority Report touch screen.)

This time there was one focus group (32 people), helpfully labeled “Ohio Undecideds” divided into women and men. CNN did apparently fix the scale problem from the first debate, where the reaction line never changed. This time we even saw some ceiling effects:

(Or, I suppose, these Ohio Undecideds were much more polarized than those watching the first debate.)

Now, obviously, I’m a big believer in sampling. However, when they interviewed the 32 people after the debate, it seemed pretty clear that they were mostly registered Democrats or Republicans who said they were undecided so they could be on CNN.* This was allowed almost 1/5th of the total screen during the debate, and was present during the entire debate. I suppose when another large square of the screen is dedicated to distractedly flashing “Vice Presidential Debate”/”Debate Night in America” we can no longer pretend to hold television (even when it the purpose is presenting information) to any rules (e.g., “frequency of use“.)

Continuing my curmudgeonly gripes about on-screen graphics, “points” from six political analysts were displayed on the screen in what I first thought were pie charts, but soon was not sure what to think.

This photo was taken early in the debate. The math became far more difficult by the end

I’ll outline the rules. Analysts could give positive or negative “points” to each candidate when they made a statement. Unlike well-trained Olympic judges, even the analysts on the same ’side’ were wildly all over the board (some giving a miserly 1-4 points and others apparently madly pressing their button as if they were on Jeopardy.)

My main issue was with load and changability: To get a true number from any analyst I have to subtract the negative points from the positive one. For example, in the picture above, Begala has Sarah Palin at 0, though my first inclination was to add those two numbers. If I want to get an idea across analysts, I have to do that for each one, hold the final number in memory and move to the next (or switch from adding to subtracting as I move down and across the screen.) Then I have to remember the final number for a candidate and process the next candidate.

Worse, the analysts could change their already given points, making a mess of the idea of +/-. Just because one candidate had 3 positive points did not mean they wouldn’t have 2 or 1 the next time you checked. This undermines the idea that they are getting additive positive scores for good points they make and negative scores for incorrect, unpopular, or lame points they make. If that were the case, each number should only increase throughout the debate.

Perhaps it was the large amounts of pizza and chocolate consumed at the debate party, but once all analysts reached double digits, I gave up and tried to ignore the flashing numbers.

As another note, many of these analysts had party biases, however their leanings were not noted on the screen. It would have been helpful to have them separated on each side by that pre-debate bias.

Last, my favorite moment came after the debate when someone at CNN printed out the analysts pie-chart-ish results and put them on screen to talk about them while the actual graphics were still up on the sides of the screen!

*I mean no offense if one of the 32 reads this and doesn’t fit that claim. There were a few true Independents interviewed.

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Reader Kim Wolfinbarger sent me this picture of sport drinks looking enough like drain cleaner to make her do a double-take.

Just read your July post on poisons that look like sports drinks. An interesting twist is sports drinks that look like poisons. I did a double-take at the grocery store last weekend, thinking that drain cleaner had been shelved with the sodas. Note the triangle icon–looks an awful lot like a hazardous materials
sign.

Do you think perhaps there is some commonality in the marketing backgrounds of the designers? Bright colors and strong lines make you believe you’re getting something powerful (whether it be a cleaner or a “performance” drink?)

In case you missed their point, it does say on the back “CAUTION: POWERFUL” and is not recommended for children.

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Infovis in the Debates

by Anne McLaughlin on September 26, 2008

in infovis

I‘m currently watching the first presidential debates, presumably with some fair percentage of America.

There is a graph at the bottom of the screen called “Audience Reaction.” I cannot figure out the data.

As you can see, the two parties and independents are represented by colors on to the left. The Y-axis seems to increase (I think the center is zero, but not really sure). The X-axis is time, so the graph scrolls while they talk.

But where are these data coming from? It can’t be the audience… there is no clapping or hooting that would “raise” the lines of approval. Did they give them clickers? Is it from online reactions? Are the Nielsen families calling in? For these data to have meaning, we need more information.

For example, we need to know if the reaction is from the Mississippi audience or from a national one. We need to know if the sample is random. We need to know the number of people in each group (I would assume the two parties have a larger number of contributors to the graph than the independents.)

Last, I know I’m not the only one confused. Check out the top hits for my search:

(A final nitpick: the graph barely changes… what scale is it on!?!?)

Update: At the end of the debate (and presumably at the beginning) they revealed the audience members are in “focus groups.” I still don’t have most of my questions answered, but it’s something.

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Richard and I are currently attending the Annual Meeting of the Human Factors and Ergonomics Society. I thought I’d report on some of the interesting work we saw this week.

First, a shameless plug for research conducted at my own university. David Sharek and Mike Wogalter presented data on how clueless and careless the “wired” generation can be when it comes to computer security. Briefly, undergraduates treated real and fake “security” announcements on PC’s similarly: by clicking “ok” to whatever it asked them. My mother has personal, recent experience that this is a GREAT way to get spyware and viruses on your computer. You might think that 20 year-olds would not be so easily fooled… but then David and Mike wouldn’t have their study buzzed on: Slashdot, ScienceDaily, Reddit, and the BBC.

Second, we have a new “technical group” called Augmented Cognition. Talks in this session included two talks on using physiological markers to predict display needs (an area long pursued without as much progress as one might hope). Check out “Using physiological measures to discriminate signal detection outcome during imagery analysis” and “Biomarkers for effects of fatigue and stress on performance: EEG, P300, and heart-rate variability.”

There is much more, too much to mention individually, but I’d like to invite the readers to comment on their personal favorites from the week.

  • Berka, C., Johnson, R., Whitmoyer, N., Behneman, A., & Popovic, D. (2008). Biomarkers for effects of fatigue and stress on performance: EEG, P300, and heart-rate variability.Human Factors and Ergonomics Society, Santa Monica, CA, 192-196.
  • Hale, K. S., Fuchs, S., & Axelsson, P. (2008). Using physiological measures to discriminate signal detection outcome during imagery analysis. Human Factors and Ergonomics Society, Santa Monica, CA, 182-186.
  • Sharek, D., Swofford, C. & Wogalter, M. (2008). Failure to recognize fake internet popup warning messages. Human Factors and Ergonomics Society, Santa Monica, CA, 557-560.

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I‘ve always thought text inputs from anything other than a keyboard were clunky. Cliff Kushler, the man who invented T9 (a word completion aid) has developed Swype, a new text entry method that capitalizes on eliminating the press and release component of the touchscreen. What was once a discrete target acquisition task becomes a continuous one.

In the CNET interview, Kushler points out his age (55) and his words-per-minute with Swype (50). Not bad.

If you’re interested in research on alternate text input devices, check out some of the following:

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But where? Well, that probably depends on where you live. I ran across this post on the Freakonomics Blog (part of the NY Times) bemoaning the difficulty of sorting recycling in Germany*.

We have four different containers in front of our building: paper (blue), packaging (yellow), biological (green), and the rest (gray) — and that doesn’t include the containers for three different kinds of glass (green, brown, and old) at the local park.

Japanese recycling station

We are confused about what goes where and spend lots of time transferring refuse from one container in our apartment to another before deciding where to throw them outside. We’re probably right most of the time — and the additional sorting beyond what we do in the U.S. (where we only have garbage, paper, and glass/plastic containers) does reduce the negative externalities to the environment.

At the same time, the transactions costs of garbage sorting here are substantial, and I wonder if they can be justified by the environmental improvement that results. Our time has value, and that is being ignored.

Oddly enough, over the weekend I talked with a recent German transplant bemoaning the American recycling system as being too confusing because there wasn’t a separate container for each category of garbage. (He specifically wanted a place to put leftover foodstuffs rather than just in the regular trash.) If you think about it, it does take general knowledge and specific experience to put “plastic coated cereal box” and “chicken trimmings” together in a container. Both cultures believe the unfamiliar system slows them down.

Of course, there are still other examples of cultural recycling conventions. In Japan you must divide your garbage into burnable, non burnable and recyclable items. But don’t worry, you don’t have to rely on your own opinion for what is burnable or not (my father puts plastic soda bottles in the “burnable” category, for example):

The exact definition of what is burnable, non burnable and recyclable depends on the municipality.

I would be willing to bet the Japanese make signs in their home to hang above the garbage as a checklist of what to recycle… just like I finally did for Raleigh, North Carolina.

*I wonder if they did a card sort to come up with the categories of items for each bin.

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