Hi Pierre,

I'm really happy to see such live interaction between the code and the 
community!

There is something that zooniverse does with their participant training.. 
example images.. and I think it wouldn't be that hard to implement.

A new Task manager could select a representative image and enter a complete 
description of what is being looked for. This image would have a layer 
visibility toggle for the volunteer to see raw image and the desired tracing.

The new volunteer could read the description presented and select the map layer 
on/off to get a better feel for what the goal is. A few of these examples could 
also be provided as merely a series of 'validated' tiles for that "data goal" 
(roads, buildings, huts etc.)

The interface would use existing objects and functions, allows easy 
customization by a manager. I'm thinking that each 'phase' would be a separate 
workflow with layer tag attribute set by the manager (i.e. each of the current 
set of tiles are given a keyword attribute automatically based upon what was 
entered from the manager console.)

These tags might come from an existing list for better cross-utility.

The workflow would be simple but the entry point would specific to that goal, 
or 'campaign'.. Example, http://tasks.hotosm.org/job/126/roads

This way a mini tutorial can be the responsibility of managers but (not 
time-prohibitive) and reduce the amount of training overall.

This would also be helped if the 'validators' could indicate (by a star and a 
comment) some images as particularly good at representing some aspect of the 
image task.. unusual examples, common mistakes etc. This 'star' system could do 
much more training than written tutorial, alleviate FAQ time, be inherently 
adaptable to any type of task, be always available, and reduce errors overall.

Om



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