We can see that while the top two/three results get most focus, tend subject in this image also decided to see if advertising was useful. Too bad they only looked at first ad, just quickly glancing at the second one.
The big question is once again – is anyone doing any serious Eye Tracking in their work, and why not?
I’m a long time fan of alternative advertising network called Project Wonderful, that doesn’t sell contextual advertising but relies on plain old auction system for a fixed daily flat rate. Instead of buying clicks or worrying about contextual advertising, you just simply sell/buy page views.
Looking at many blogs recently, there is an topic of monetizing your blog and how to figure out what’s your blog worth? To me the best approach to this is by using Project Wonderful advertising and let advertisers outbid each other for their placement. You’ll quickly see if there’s any commercial interest and if your daily writing is worth 10 dollar cents or 15 dollars.
Having a bit too much free time, I decided to try Project Wonderful and see what kind of bids it would attract.
Itâ€™s a big subject, so heâ€™s going to focus mostly on theoretical aspect. The topic of findability has been very well research by Peter Morville (semanticstudios.com) – Ambient Findability book
â€œFindingâ€ and what it means.
Discover or perceive by chance o unexpectedly
Discover after a delibarate search
Succeed in obtaining
What is exposed to us (on purposes on inadvertently)
Weâ€™re searching for: physical items. Weâ€™re also searching for digital information, mostly knowledge about: oneself, concepts (mining of something), more detailed information (e.g., products), entities in the same society (people, organizations, businesses).
Besides knowledge weâ€™re trying to find opinions also. To validate feelings or judgments, in order to feel more conformable about data; we also search to establish trust relationships; complementary judgments (finding different POV on things).
Definition of information is a complex subject, but authors definition is:
Data: a string of identified but unevaluated symbols
Information: evaluated, validated or useful data
Knowledge: information in the context of understanding
Information is very closely tied to communication.
Examples are memes,Â pieces of information that are transmitted from one mind to another. Either verbally or physical action. One example of this is â€œRick Rollingâ€. If you are able to achieve this, you have â€œviral marketingâ€.
Multi-agent systems, systems composed of interacting intelligent agents. Itâ€™s a domain of AI. There are two types of agents:
Reactive agents (e.g., colonies of ants; they base their communication on very simple signals and they donâ€™t really have a clue about the larger task)
Cognitive agents (e.g., closer to human beings; they are able to memorize things, they have beliefs and they have pretty complex ways of communication with each other)
Interesting base to study collective environment.
Findability referees to the quality of things we find.
Evaluate to what degree a particular object is easy to discover or ..
How well a psychical or digital environment supports navigation and retrieval
Wayfinding: a complex events of what people to get from one place to go:
5 step process:
Knowing where you are
Knowing your destination
Following the best route
Being able to recognize your destination
Finding your way back
How do we make something findable?
Make sure that the item is easy to discover or locate
Have a well organized system which supports easy navigation and retrieval
â€œIn your faceâ€ discovery principle; expose the item in places known to be frequented by the target audience. This is a case for advertising and commercial display. Advertisers have to understand how people navigate and use the world in which they live. Contextual example are airport related adds around airports since these are the people who usually drive around.
Example: restaurant menus are sorted by the dish types and when you eat it in the process.
Describe and browse:
Similar to asking for directors
Similar to asking random questions
Get list of entry-points to pages
Itâ€™s also possible to mix things up. First example is from Google, direct links to custom web sites and inline search. Search assist for Yahoo proposes stuff to users other interesting things around this term.
Essentially they are heavily based upon communication between peers..
Web is essentially a giant referral system. Anyone can add signs to entry-doors on your site. But this leads to need for relevancy system; someone seeing the signs donâ€™t really know if that is the best way to go. One solution for this is PageRank, in order to put ranking on links; peer based example is Digg.
Relevance has two ways to measure effectivens the best as possible:
Precisions: how well a system retrieves only relevant documents
Recall: how well a system retrieves all relevant documents
Precisions = (number relevant and retrieved) / Total number retrieve
Recall = (number relevant and retrieved) / total number of relevant
When we talk about relevance, we need to identify the type of search that is being performed by the user:
Sample search: a small subset of documents are sufficient (most of the time; we often donâ€™t look at the second page of results) (precision method)
Existence search: search for a specific document (precision method)
Exhaustive search: full set of documents needed (recall method)