WinterMilestone 4 inceptionTRACTRICOID
Categorization for differentiation
- It is time consuming and difficult for workers to find the tasks that match their talents.
Imagine John as a worker who wants to choose a job between job A and job B, B pays higher than A so John decides to choose job B. John does not know that he doesn’t have the skills required for the task B and job A is something he could easily do in a short time. He ends up spending a lot of time on doing task B, and doesn’t do it very well so his work gets rejected. This is an example of how easily knowing the required skills for a job can help workers find the right task to do.
- Categorizing jobs for suggestions
Labeled tasks are very easy to work with when it comes to showing suggestions to workers. We can understand a workers interest and skills based on the tasks they do and how well they perform them so it makes it a lot easier to suggest the right task to person with matching skills.
- It is time consuming for the workers to find the task that matches their skill
- Generated recommendations
- Easier to rate workers on the skills related to the task they accomplished.
Endorsing worker skills
- It is difficult for to differentiate themselves from other workers with same rating but different skillset.
- There is no way other than being rejected/accepted for workers to gain feedback from requesters about their performance.
- Currently tasks are vulnerable to noisy labels introduced either unintentionally by unreliable workers or intentionally by spammers and malicious worker.
- It is difficult to recruit talent.
- The reliabilities or reputations of the workers are often unknown.
- Workers will perform better quality work if they know their work will be rated.