Summary
The author of the paper started explaining about human computation, crowd sourcing, social computing, data mining, and collective intelligence and the differences between these terminologies. The author also explained the intersection of these areas and the areas where they are disjoint. After that the author explained about different dimensions of human computation work to control the work quality, in which each dimension has many values. And the author explained each value and its contribution to the system. And in the final area the author proposed possible future research areas that can be researched for new topics in this area.
Reflections
- It was interesting to know how quality control is handled in human computations given money is involved people try to exploit the system.
- Money is not the only factor that motivates people to work in this area there are many incentives that motivate people to complete this task.
- There are different methods that exist to control the quality of work like review, voting, economic modeling, input-output agreement and automatic check etc.
- The process order of the task also has a significant meaning for each task.
Questions
- Is the present system for quality check enough to ensure quality? There might be tasks which might need expertise in which none of the workers exist to complete tasks.
- Can collection of data can be considered as crowdsourcing, where we need images of different people for image recognition model?
- Do you think 90% jobs that provide pay of less than 0.1$ die after some time due to the need for expertise?
