Location
Level 0, Open Space, Owen G. Glenn Building
Start Date
12-15-2014
Description
In recent years the rising popularity of outsourcing work to crowds has led to increasing importance to find an effective assignment of suitable workers with tasks. Even though attempts have been made in related areas such as expertise identification most crowdsocuring jobs today are assigned without any predefined policy. Whilst some have investigated assigning jobs based on availability or experience no dominant method has been identified so far. We propose an assignment of tasks to crowd-workers based on their cognitive capability, by conducting a set of cognitive tests and comparing them with performance on typical crowdtasks. Moreover, we examine different setups to predict task performance where a) cognitive abilities, b) performance on previous crowdtasks, or c) both of them, are partially known. Preliminary results show that cognition-based task assignment leads to an improvement in task performance prediction and may pave the way to more intelligent crowd worker recruitment.
Recommended Citation
Feldman, Michael and Bernstein, Abraham, "Cognition-based Task Routing: Towards Highly-Effective Task-Assignments in Crowdsourcing Settings" (2014). ICIS 2014 Proceedings. 22.
https://aisel.aisnet.org/icis2014/proceedings/GeneralIS/22
Cognition-based Task Routing: Towards Highly-Effective Task-Assignments in Crowdsourcing Settings
Level 0, Open Space, Owen G. Glenn Building
In recent years the rising popularity of outsourcing work to crowds has led to increasing importance to find an effective assignment of suitable workers with tasks. Even though attempts have been made in related areas such as expertise identification most crowdsocuring jobs today are assigned without any predefined policy. Whilst some have investigated assigning jobs based on availability or experience no dominant method has been identified so far. We propose an assignment of tasks to crowd-workers based on their cognitive capability, by conducting a set of cognitive tests and comparing them with performance on typical crowdtasks. Moreover, we examine different setups to predict task performance where a) cognitive abilities, b) performance on previous crowdtasks, or c) both of them, are partially known. Preliminary results show that cognition-based task assignment leads to an improvement in task performance prediction and may pave the way to more intelligent crowd worker recruitment.