txteagle: Mobile Crowdsourcing
IDGD '09 Proceedings of the 3rd International Conference on Internationalization, Design and Global Development: Held as Part of HCI International 2009
Who are the crowdworkers?: shifting demographics in mechanical turk
CHI '10 Extended Abstracts on Human Factors in Computing Systems
CrowdSearch: exploiting crowds for accurate real-time image search on mobile phones
Proceedings of the 8th international conference on Mobile systems, applications, and services
Location-based crowdsourcing: extending crowdsourcing to the real world
Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries
Evaluating and improving the usability of Mechanical Turk for low-income workers in India
Proceedings of the First ACM Symposium on Computing for Development
Recruitment framework for participatory sensing data collections
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Common sense community: scaffolding mobile sensing and analysis for novice users
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
mClerk: enabling mobile crowdsourcing in developing regions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Exploring playback and recording of web-based audio media on low-end feature phones
Proceedings of the 3rd ACM Symposium on Computing for Development
| Hi-index | 0.00 |
In developing regions, the reach of crowdsourcing services such as Amazon Mechanical Turk (mTurk) has been limited by the lack of adequate payment mechanisms and low visibility amongst the crowd. In this paper, we present a commodity based model for crowdsourcing where crowd workers get paid in kind in the form of a commodity instead of money. Our model makes crowdsourcing services more visible to users in developing regions and also addresses the issue of payment. We conducted two field studies in urban India to evaluate the applicability of our proposed model. Our results show that the commodity based crowdsourcing model reached workers with very different demographics from the typical mTurk workers. We also found that users preferred to receive a commodity instead of money as remuneration.