  Human computation refers to the outsourcing of computation tasks to human
workers. It offers a new direction for solving a variety of problems and calls
for innovative ways of managing human computation processes. The majority of
human computation tasks take a parallel approach, whereas the potential of an
iterative approach, i.e., having workers iteratively build on each other's
work, has not been sufficiently explored. This study investigates whether and
how human workers' awareness of previous workers' rationales affects the
performance of the iterative approach in a brainstorming task and a rating
task. Rather than viewing this work as a conclusive piece, the author believes
that this research endeavor is just the beginning of a new research focus that
examines and supports meta-cognitive processes in crowdsourcing activities.
