Ph.D
Computer Science, University of North Carolina at Charlotte
I hold a Ph.D. in Computer Science, which means I've spent years immersed in cutting-edge technology research and innovation. Along the way, I've solved complex problems, developed original solutions, and contributed new knowledge and insights to the tech world.
Dissertation
Participatory Sensing: demographic determinants of incentive effectiveness and a framework to establish incentive design guidelines.
Participatory Sensing uses mobile devices for individuals to gather and share scientific data. I researched how demographics influence responses to incentives in these activities and developed the 4WT framework. This framework tailors incentives to different demographic groups, aiming to enhance data quality and engagement in Participatory Sensing projects.
Applications
Various industries
Although my research focused on monitoring pipelines in Nigeria's Niger Delta to detect spills or vandalism, promoting accountability, the 4WT framework is applicable across diverse contexts in various industries. 4WT was successfully applied to Organizational Crowdwork at IBM, resulting in two peer-reviewed publications in top Computer Science journals.
Publications
Published in peer reviewed journals
CSCW 2014 - 4WT of Organizational Crowdwork Incentive Design Omokaro, O., & Payton, J. (Conference on Computer Supported Collaborative Work)
HCOMP 2014- Making Crowdwork Work: Issues in Crowdsourcing for Organizations Anya, O. et al (Conference on Human Computation and Crowdsourcing)
UbiComp 2012- A Framework to Promote User Engagement in Participatory Sensing Applications Omokaro, O. (Conference on Ubiquitous Computing