Book Chapter or Conference Paper Title
Searching for suitable face of quality in crowdsourcing - a personality perspective
Department of Computer Science
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International Conference of Reliable Information and Communication Technology
Kuala Lumpur, Malaysia
23-24 June 2018
Abstract / Description
In crowdsourcing it is a challenge to get quality work from crowd-workers. To get better quality of work two approaches i.e., run-time and design-time are used. Literature suggests that design-time approach is cost-effective as compared to run-time approach. In design-time approach, characteristic of crowd-worker is one of the components used. Previous research advocates that personality can be used to reflect the characteristic of a crowd-worker. However, there is little research available using personality to study which task a crowd-worker would like to work on. This study aims to explore which personality trait of an individual is suitable to perform tasks in crowdsourcing domain using survey questionnaire based on Big Five Inventory. Big Five Inventory (BFI). BFI is a measurement tool for five dimensions of personality. Findings reveal the relationship between task-related interest of participants and their respective personalities. It is also observed that workers with antagonist and neurotic personalities may not be suitable for the crowdsourced task.
Karim, S., Shaikh, U. U., & Asif, Z. (2018, June). Searching for suitable face of quality in crowdsourcing-a personality perspective. In International Conference of Reliable Information and Communication Technology (pp. 812-819). Springer, Cham.
Karim, S., Shaikh, U., & Asif, Z. (2018). Searching for suitable face of quality in crowdsourcing - a personality perspective., 812-819. https://doi.org/10.1007/978-3-319-99007-1_75