36. Results So Far...
The data needs, and the usefulness of
data to individuals is dependent on the
level of experience that the end users
had with the kayaking application
domain.
Data was only useful when
participants could interpret it as useful
information that had meaning that
was relevant for them.
Some aspects of usability need to be
measured in terms of functional
outcomes, and particularly the ability
of kayakers to make appropriate
decisions during the planning and
activity phases.
Usable data often has a temporal
aspect, such that the usefulness of
data often ‘decayed’ within a time
window of opportunity. A good
example of this is water levels
affecting the ‘paddleability’ of the
river.
Data usability also had a clear
geographical element (i.e. both time
and place are important).
Professional information sources tend
to represent the ‘large general’
geography of the land (e.g. whole
river paths), with volunteered sources
relating to small scale details (e.g.
difficulty of weirs). The most negative
experiences resounded by participants
related to these small scale details.
While volunteered information seemed
to have little impact on the positive
enjoyment of a kayak trip, its use in
planning helped prevent kayakers
encountering negative experiences as
frequently.
When questioned about professional
and volunteered sources, participants
tended to refer to sources they
perceive as reliable and respectable
(e.g. highly regarded forums) as
professional, despite their volunteer
contribution base.
We are all familiar with physical ergonomics and probably anthropometrics
Interacting with Computers through Graphical User Interfaces (GUI) is nothing new either
And recently HCI has come a long way, brining in more traditional ergonomics
Away from the fun of rotating pictures on our home PC, it is information we are interacting with
In particular, this session is about Volunteered Geographic Information:
“The creation of geographic information by potentially untrained volunteers”
So lets think about taking these concepts and marrying them together
In 2005 Paul Radmacher combined property listings from Craigslist
With a new tool made freely available on the web – Google Maps
The result was Housemaps.com. Neither the map nor the information was new or unique, but the way of visualising and geographically contextualising it was unique.
This is known as the mashup
Essentially different ‘layers’ of information are overlaid onto a map.
So why does this matter?
Before the mashup (pre 2005) finding a new house online looked like this
And made you feel like this...
But it obviously makes more sense when you can understand it graphically
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Especially when you know a little about the area.......So lets take this further
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We have selected the properties we are interested in, and now bring in some more information
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In this case it is crime data about home break-ins.... Our relationship with this mashup has not been enhanced though a better user interface, but by more contextualising information for the user to interact with.
So why does this matter?
Google maps is the most widely used online map to date.
Information is created by the professional cartographers of Tele Atlas and Google
Here is central Loughborough Mapped by OpenStreetMap. All the information is from freely available data (e.g. Ordnance Survey Streetview)
or volunteers mapping with hand held GPS devices and some Open Source software on their home PC.
And this is what they look like
When comparing a ‘complete’ section of OpenStreetMap against Google maps you can see the difference in detail......
Remember what happened with house-maps and layers of information....
Ordnance Survey has a ‘refresh’ time line of between 6 months for dense urban areas (e.g. London) to sparse rural (e.g. Mountains) and may cost you tens of thousands of pounds for access.
OpenStreetMap has a refresh rate of RIGHT NOW to GOD KNOWS WHEN.....
Essentially different ‘layers’ of information are overlaid onto a map.
Remember how contextualising information makes all the difference...
So why does this matter?
As I mentioned earlier, my work is mainly involving volunteered geographic information, and in particular how it gives benefit to the end user above and beyond what professional information may provide.
Which works out roughly like this.....
If pink is the outcome score when using VGI
And purple is the outcome score when using Professional Information
The difference between scored gives benefit to user
When I started in October 2008, there was very little published....So I had to start somewhere
My first study looked at defining who are the stakeholders into VGI