WinterMilestone 1 Jinesh

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This is my submission for Winter Milestone 1.The tasks embodied in this milestone abetted me to get the picture of the crowdsourcing platform. Finishing these tasks was a great experience.

Experience the life of a Worker on Mechanical Turk

I had applied for registration on Amazon Mechanical Turk and received no response from them till 48 hours. So I moved my path to similar platforms one of which was Microworkers. When I joined that platform, I found out that it was very difficult for a worker to do a job in current crowdsourcing platforms.

One of the biggest obstacle is the completion of jobs in given deadlines and post that getting paid for that job. Some jobs take too much time to verify the precision of the tasks and also takes about one to two weeks to get the acknowledgement back. This makes a hard living for workers. To fend off the issue, a more reliable platform has to be established where chances of workers jobs being accepted are at a higher scale and a quick acknowledge or review to these tasks would ease the situation. Outcome of such platform would cut off the indefinite waiting period for workers.

Other issues regarding the worker are minimal wages and insecurity for payment. The tasks assigned to a worker have the rate of less than $1 per hour, which highly limits and affects the quality of the work done by the worker. To fix this problem we have to set some minimum wages or base wages which the requester has to pay. This will help the workers to do work efficiently and decrease the workload for requester which result a crowd-sourcing balance.

Once the job is done by the worker and waiting to be verified, many of the requesters do not complete their end of the bargain which creates an uncertainly of doing any other tasks by that worker provider by that requester. To resolve this, we can put a rating scale and a review tab (Comment Tab) for each requester so that the reliability of that requester can be verified before performing any tasks.


Experience the life of a Requester on Mechanical Turk

The requestors may also face some of the problems on a crowd sourcing platform. One of them is the Quantity of the work. Many times the workers don’t satisfy all the required parameters specified during the upfront of the tasks which becomes very annoying and frustrating for requestor. To solve this, we can ask the worker to put check points as soon as they complete some part of their job.

Another major issue is link between the worker and requester. It is sometimes difficult to make the workers understand some complicated tasks that have to be executed in precise way. This again feeds into the problem of poor quality of work received by the requester.

Readings

MobileWorks

The authors identify an interesting segment which could provide a huge boost to the number of workers available at the same time providing a way for people to develop a secondary source of income especially to those who need it the most quintessentially capturing the win win spirit of crowd sourcing.

Though interesting, the application is increasingly becoming redundant at least in India as users shift to smartphones. In fact many of the new users are bypassing the feature phones entirely, just as they bypassed fixed land line phones. When a smartphone is available for as low as $25.13, the first phone that many people buy is smart.

Daemo too should be mobile friendly as statistics suggest that people are increasingly accessing the Internet using their smartphones in fact last year the the number of Google searches via a smartphone bypassed the number of queries received through the desktop. In fact I believe that Daemo being the future of crowd sourcing should openly embrace the ubiquity and diversity of mobile devices. We should be awesome on the smartphone but not stop there we should go further and make the platform available on Smart T.Vs, Virtual Reality devices, Google Glasses and Holo Lenses of the future. So that we equip the users to demand and cater to the tasks of the future which are not limited to translations and transcribings.

Daemo

The single biggest issue that current platforms face is that the workers do not trust the requesters and the requesters do not trust the workers, the Bomerang feature that Daemo proposes is just what is needed to help overcome this trust issue and help build mutual respect between the workers and the requesters.

An amazing user interface is also an important feature and will help more users adopt the platform.

The Prototype functionality is just what the doctor ordered. It gives the users a unique opportunity to calibrate themselves this will ensure that both the workers themselves as well as the requesters are not disappointed in the future.

After the initial launch we can explore the possibilities of opening the platform to languages other than English. This will help overcome the language barrier and help more users to adopt the crowd-sourcing platform world wide.

Flash Teams

This platform allows people to use their talents and does not rely on basic human capabilities. Workers can earn according to their skill set, this not only helps the workers but also allows the requesters to benefit from specific tasks that cannot be performed by everyone at the same time promoting skill development. The modularity of the system and ease of communication also argue well for the future as already noted these are some of the major problems in the current systems. Pipe lining will help increase collaboration. Choosing and filtering experts can present a challenge to this model.

Milestone Contributors

Slack usernames of all who helped create this wiki page submission: @mehtajineshs