I‘ve heard of text messages being used to remind older adults, but this is an interesting take on that…I guess it addresses the same underlying problem in both age groups: prospective memory failures.
WASHINGTON – 4gt yr meds? Getting kids to remember their medicine may be a text message away. Cincinnati doctors are experimenting with texting to tackle a big problem: Tweens and teens too often do a lousy job of controlling chronic illnesses like asthma, diabetes or kidney disease.
It’s a problem long recognized in adults, particularly for illnesses that can simmer without obvious symptoms until it’s too late. But only now are doctors realizing how tricky a time adolescence is for skipping meds, too.
“A tag is a (relevant) keyword or term associated with or assigned to a piece of information (a picture, a geographic map, a blog entry, a video clip etc.), thus describing the item and enabling keyword-based classification and search of information.” [Wikipedia]
Tagging is the process of assigning keywords or phrases to items. To be more concrete, many of us may have collections of bookmarks in our web browser. Tagging each bookmark with a relevant term allows them to be classified and categorized semantically, or by meaning.
But one major downside of tagging is that the user has to actually do the tagging; quite a bit of work if you have many thousands of bookmarks (or emails or photographs). Rashmi Sinha was one of the first people to start thinking about the cognitive requirements (i.e., what happens in the head) when users tag. Here is a figure from her analysis:
Her bottom line is that tagging is efficient (compared to other methods of organization) because when we are trying to think of keywords, we have lots of choices that come to mind (stage 1). However, I see this as a potential downside. It’s a heavy decision step that must be repeated for every item one needs to tag.
Several new products are on the horizon that aim to automate this very step:
The first (which is in private beta and thus unavailable) is Twine. The New York Times wrote an interesting story about Twine and how it automatically scans your documents to obtain relevant keywords.
Sarah Miller, a librarian at Illinois Wesleyan University in Bloomington, became a member of Twine’s test group in November, partly because she and her husband, Ethan, a doctoral candidate, needed a place to organize all the documents they wanted to share with each other about teaching and learning.
Ms. Miller likes Twine’s mechanized tagging abilities.
“If I save the URL of a Web page into my Twine account,” she said, “Twine will skim the page and turn it into tags automatically. It’s a way to tie together things that my husband and I find over days, and months and years.”
Twine has an option that allows people to do their own descriptive tagging, just as they might, for instance, use the Web service del.icio.us to assign labels to Web sites to help keep track of them.
“But my tagging is inefficient,” Ms. Miller said. “Personal vocabulary changes. It’s difficult to be consistent.”
A less automated solution is a new product (also in private beta) called zigtag. Zigtag relies on you entering a keyword, but afterwards will suggest additional keywords.
After entering an appropriate tag for a page, the user is presented with a list of matching keywords, each of which has been defined in Zigtag’s database. For example, after entering “Apple” into the search field, I was able to choose from “the computer company”, “the pomaceous fruit”, and “the record company”, among others. The process is painless and the integrated dictionary is fairly comprehensive. If you happen to stumble across a term that isn’t defined, you can easily request to have it added to the dictionary (and can place your own temporary tag). [Tech Crunch]
While these are nice solutions, i’ve always imagined that one side benefit of tagging was that the very effortful process of tagging could contribute to a more durable memory trace (the classic “generation effect“). Incidentally, some limited research of mine (PDF) has not borne this out. But in reality, how well do we want to really remember our bookmarks? Most of us are satisfied that it is stored somewhere and are less interested in retrieving it later unaided.
OLPC founder Nicholas Negroponte also told The Associated Press on Tuesday that an insistence upon using only free, open-source software had hampered the XO’s usability and scared away potential adopters.
The article doesn’t make it clear what about the usability of Sugar was problematic.
I’ve heard a great deal about trust and automation over the years, but this has to be my favorite new example of over-reliance on a system.
GPS routed bus under bridge, company says
“The driver of the bus carrying the Garfield High School girls softball team that hit a brick and concrete footbridge was using a GPS navigation system that routed the tall bus under the 9-foot bridge, the charter company’s president said Thursday.Steve Abegg, president of Journey Lines in Lynnwood, said the off-the-shelf navigation unit had settings for car, motorcycle, bus or truck. Although the unit was set for a bus, it chose a route through the Washington Park Arboretum that did not provide enough clearance for the nearly 12-foot-high vehicle, Abegg said. The driver told police he did not see the flashing lights or yellow sign posting the bridge height.
“We haven’t really had serious problems with anything, but here it’s presented a problem that we didn’t consider,” Abegg said of the GPS unit. “We just thought it would be a safe route because, why else would they have a selection for a bus?””
Indeed, why WOULD “they” have a selection for a bus? Here is an excerpt from the manual (Disclosure: I am assuming it’s the same model):
“Calculate Routes for – Lets you take full advantage of the routing information built in the City Navigator maps. Some roads have vehicle-based restrictions. For example, a street or gate may be accessible by emergency vehicles only, or a residential street may not allow commercial trucking traffic. By specifying which vehicle type you are driving, you can avoid being routed through an area that is prohibited for your type of vehicle. Likewise, the ******** III may give you access to roads or turns that wouldn’t be available to normal traffic. The following options are available:
Truck (large semi-tractor/trailer
Emergency (ambulance, fire department, police, etc.)
Delivery (delivery vehicles)
Bicycle (avoids routing through interstates and major highways)
If we can assume no automation can be 100% reliable, at what point to people put too much trust in the system? At what point do they ignore the system in favor of more difficult methods, such as a paper map?At what point is a system so misleading that it should not be offered at all? Sanchez (2006) addressed this question and related type and timing of error to amount of trust placed in the automation. Trust declined sharply (for a time) after an error, so we may assume the Seattle driver might have re-checked the route manually had other (less catastrophic) errors occurred in the past.*
The spokesman for the GPS company is quoted in the above article as stating:
“Stoplights aren’t in our databases, either, but you’re still expected to stop for stoplights.”
I didn’t read the whole manual, but I’m pretty sure it doesn’t say the GPS would warn you of stoplights, a closer analogy to the actual feature that contributed to the accident. This is a time where an apology and a promise of re-design might serve the company better than blaming their users.
*Not a good strategy for preventing accidents!
Other sources for information on trust and reliability of automated systems:
Verizon Wireless shows no shame in revealing that its Coupe by UTStarcom ($39.99 with a two-year contract) is aimed at retirees. And when you open this clamshell, you’ll know why. Besides its large, easy-to-read screen, the device has a large numeric keypad.Though the phone has these “senior” features, it still has the mobile utilities we all demand, including a built-in speakerphone, a tip calculator, and T9 predictive text capability for text messaging.
The computers proved too complex for some temporary workers who tried to use them in a test last year in North Carolina. Also, the computers were not initially programmed to transmit the large amounts of data necessary.
There is an episode of the television show Seinfeld (“The Dealership“) where Kramer is test driving a car. During the test drive, Kramer notices the fuel gauge is empty and he wants to know how far he can drive before he really runs out of gas.
While I haven’t gone that far I like to see how fuel efficiently I can possibly drive. My car has a dynamic display of instant fuel economy in miles per gallon (my record is 37.5 MPG in a non-hybrid sedan).
Why do I do this? I don’t know–perhaps an innate competitiveness. But I know others who do this as well. Why not capitalize on this change in behavior by including more energy consumption displays in more products and even in the home. The image on the left is a new home energy monitor which tracks electricity, gas, and water usage.
In the past year, there has been an explosion of interest in the very low end of portable computing. This started with the introduction of the One Laptop Per Child project (OLPC). Quickly followed by the Asus EEE pc, Intel Classmate PC, and Everex Cloudbook. These bare bones and ultra portable laptop computers are ostensibly targeting users who would like a computer but can’t afford one. But one topic I have yet to hear about is an analysis of the usability or human factors aspects of these machines.Only the education-focused OLPC (and maybe the Classmate PC) is explicitly targeting an international, student-aged audience. Incidentally, only the OLPC has a somewhat novel interface (dubbed Sugar). The interface is dominated by pictographs with little use of text:
Given the extremely wide audience for these types of computers, I wonder how much work has gone into testing the usability of Sugar, or the other operating systems in these machines. In addition, given the extremely varied audience (in age, educational level, technological skill level, socio-economic status, just to name a few), does this one-size-fits-all strategy work? There has been research illustrating that even within a culture, pictograms are not universally understood.
My experience with open-source software (which all of these machines can run) has been that ease of use has never been a priority. Here is a quick visual comparison of the current machines.